Institut für Raumbezogene Informations- und Messtechnik
Hochschule Mainz - University of Applied Sciences

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Publikationen

2017

Towards the design of respond action in disaster management using knowledge modeling

2017

Claire Prudhomme, Roxin, Ana, Cruz, Christophe, F Boochs

The Fourth International Conference on Information Systems for Crisis Response and Management in Mediterranean Countries (ISCRAM-med 2017)
<p>This position paper highlights current problems linked to the aspects of the multi-agency collaboration during disaster response. The coordination and cooperation depend on the information sharing and use which must face up to interoperability, access rights, and quality problems. The research project aims at providing an assessment of information impact on the disaster response in order to support the decisionmaking about what information shared or what quality of data used to improve the response efficiency. Our research approach propose to combine an information system able to integrate heterogeneous data and a simulation system to assess different strategies of information sharing, dissemination and use. A knowledge base is used as a bridge between information system and simulation system. This knowledge base allows for designing dynamically a simulation according to open data and for managing the own knowledge and information known by each agent.</p>

Ontology-based Knowledge Representation for Recommendation of Optimal Recording Strategies - Photogrammetry and Laser Scanning as Examples.

2017

S Wefers, A Karmacharya, F Boochs

gis.Science
<p><span style="color: rgb(73, 72, 72); font-family: Roboto, Roboto, &quot;Helvetica Neue&quot;, sans-serif; font-size: 14px; text-align: justify;">Experts&rsquo; knowledge about optical technologies for spatial and spectral recording is logically structured and stored in an ontology-based knowledge representation with the aim to provide objective recommendations for recording strategies. Besides operational functionalities and technical parameters such as measurement principles, instruments, and setups further factors such as the targeted application, data, physical characteristics of the object, and external influences are considered creating a holistic view on spectral and spatial recording strategies. Through this approach impacting factors on the technologies and generated data are identified. Semantic technologies allow to flexibly store this knowledge in a hierarchical class structure with dependencies, interrelations and description logic statements. Through an inference system the knowledge can be retrieved adapted to individual needs.</span></p>

Integration, quality assurance and usage of geospatial data with semantic tools

2017

Timo Homburg, Claire Prudhomme, F Boochs, Ana Roxin, Christophe Cruz

gis.Science









How to optimally record cultural heritage objects? Decision support through connected knowledge.

2017

S Wefers, A Karmacharya, F Boochs, G Heinz

EVA Berlin 2017. Elektronische Medien & Kunst, Kultur und Historie 24. Berliner Veranstaltung der internationalen EVA-Serie Electronic Media and Visual Arts, 2017
<p>Optical recording of material cultural heritage (CH) is a multidisciplinary activity where the understanding of cross-disciplinary semantics is vital for a successful completion. In many cases, a lack of understanding of transdisciplinary semantics slows this process down. The end users who are mostly humanities experts lack the technical knowledge of spatial and spectral recording and could therefore demand more than what is actually required or sufficient for the intended CH application. The negotiations between technical experts and the end users are a tedious process. We present a semantic-based decision support system, COSCH<sup>KR</sup>, that employs reasoning and recommends optimal recording technology(ies) according to the application requirements of the recorded and processed data. COSCH<sup>KR</sup> is an ontology-based knowledge model that implies the development of semantic technologies within the Semantic Web framework. It represents formalized knowledge of the disciplines involved in the process of optical recording of material CH. The paper describes the applicability of the model in spatial, spectral, and visualization applications and summarises current possibilities and challenges.</p>

How to Enrich Description Logics with Fuzziness

2017

Martin Unold, Christophe Cruz

SAI Computing Conference
<p>The paper describes the relation between fuzzy and non-fuzzy description logics. It gives an overview about current research in these areas and describes the difference between tasks for description logics and fuzzy logics. The paper also deals with the transformation properties of description logics to fuzzy logics and backwards. While the process of transformation from a description logic to a fuzzy logic is a trivial inclusion, the other way of reducing information from fuzzy logic to description logic is a difficult task, that will be topic of future work.</p>

Digital 3D reconstructed models A proposition for structuring visualisation workflows using semantic technologies for recommendations

2017

Stefanie Wefers, Ashish Karmacharya, Mieke Pfarr-Harfst, Frank BOOCHS

Studies in Digital Heritage
<p>It is common for cultural heritage applications to use spatial and/or spectral data for documentation, analysis and visualisation. Knowledge on data requirements coming from the cultural heritage application and technical alternatives to generate the required data based on object characteristics and other influencings factors paves the way for the optimal selection of a recording technology. It is a collaborative process requiring knowledge of experts from cultural heritage domains and technical domains. Currently, this knowledge is structured and stored in an ontology (so-called COSCHKR). It has the purpose to support CH experts not familiar with technologies through prescribing an optimal spatial or spectral recording strategy adapted to the physical characteristics of the cultural heritage object and the data requirements of the targeted CH application. The creation of digital 3D reconstructed models for analysis and visualisation purposes is getting more and more common within humanities disciplines. Therefore, an implementation of mechanisms involved in visualisation applications into this ontology would have huge benefits in creating a powerful recommendation solution. A structured view on such project workflows facilitates a rough match with the existing knowledge representation. Illustrating the overall structure of COSCHKR, this paper addresses and discusses challenges in structuring the processes of cultural heritage visualisation and implementing these into the ontology.</p>

Digital 3D reconstructed models: Using semantic technologies for recommendations in visualization applications

2017

S Wefers, A Karmacharya, M Pfarr-Harfst, F Boochs

Studies in Digital Heritage









Automatic Integration of Spatial Data into the Semantic Web

2017

Claire Prudhomme, Timo Homburg, Jean-Jacques Ponciano, F Boochs, Roxin, Ana, Cruz, Christophe

WebIST 2017
<p><span class="foldable-text" data-reactid="122" id="yui_3_14_1_1_1505396336545_1222">For several years, many researchers tried to semantically integrate geospatial datasets into the semantic web. Although, there are many general means of integrating interconnected relational datasets (e.g. R2RML), importing schema-less relational geospatial data remains a major challenge in the semantic web community. In our project SemGIS we face significant importation challenges of schema-less geodatasets, in various data formats without relations to the semantic web. We therefore developed an automatic process of semantification for aforementioned data using among others the geometry of spatial objects. We combine Natural Language processing with geographic and semantic tools in order to extract semantic information of spatial data into a local ontology linked to existing semantic web resources. For our experiments, we used LinkedGeoData and Geonames ontologies to link semantic spatial information and compared links with DBpedia and Wikidata for other types of information. The aim of our experiments presented in this paper, is to examine the feasibility and limits of an automated integration of spatial data into a semantic knowledge base and to assess its correctness according to different open datasets. Other ways to link these open datasets have been applied and we used the different results for evaluating our automatic approach.</span></p>

Ontology-Based Structuring of Spectral and Spatial Recording Strategies for Cultural Heritage Assets: Background, State of Affairs, and Future Perspectives

2017

A Karmacharya, S Wefers

A. Bentkowska-Kafel, L. MacDonald (eds), Digtial Techniques for Documenting and Preserving Cultural Heritage
<p>The activities of COSCH community and the disciplines it represents were as diverse as they could possibly be in research into cultural heritage. To achieve common goals it was of utmost importance to have a common understanding of these diverse activities and disciplines. Work on the COSCH Knowledge Representation, or COSCHKR, was undertaken to develop a common semantic base representing different disciplines and to facilitate communication within the Action. The COSCHKR is an ontology-based inference model, guided by inference rules that provide a semantic bridge between various interdisciplinary activities involved in non-invasive technical documentation of material cultural heritage. The model is intended to support humanities experts by recommending optimal spatial and spectral techniques. The model may also be used by technology experts to compare their own solutions with the ones recommended through COSCHKR, and to understand why they may differ.<br />In this chapter we present the methods adopted for designing the COSCHKR and the steps in the development of the inference model. The difficulties in maintaining a common level of understanding within the diverse disciplines during the knowledge acquisition process are discussed. We present mechanisms and methods of information collection, its structuring, and aligning, to formulate different axioms and theorems within the model. The design and development of COSCHKR was based on an iterative procedure where the gathered knowledge was first verified with the group of experts before it was processed. This verification mechanism was important for the reliability of the model, ensuring technical consistency. This chapter highlights the importance of these iterative mechanisms in the validation of knowledge gathered and then information populated inside the knowledge base.</p>

Knowledge-based object recognition in point clouds and image data sets

2017

Jean-Jacques Ponciano, Frank BOOCHS, Alain Trémeau

gis.Science









A Framework to Improve the Disaster Response Through a Knowledge-Based Multi-Agent System

2017

Prudhomme, Claire, Cruz, Christophe, Roxin, Ana, Boochs, Frank

International Journal of Information Systems for Crisis Response and Management (IJISCRAM)
<p><span id="ctl00_cphFeatured_lblAbstract">The disaster response still faces problems of collaboration due to lack of policies concerning the information exchange during the response. Moreover, plans are prepared to respond to a disaster, but drills to apply them are limited and do not allow to determine their efficiency and conflicts with other organizations. This paper presents a framework allowing for different organizations involving in the disaster response to assess their collaboration through its simulation using an explicit representation of their knowledge. This framework is based on a multi-agent system composed of three generic agent models to represent the organizational structure of disaster response. The decision-making about response actions is done through task decomposition and repartition. It is based reasoning on ontologies which provides an explicit trace of the response plans design and their execution. Such framework aims at identifying cooperation problems and testing strategies of information exchange to support the preparation of disaster response.</span></p>

Katastrophenmanagement: Die geflutete Stadt

2017

Claire Prudhomme

n.A.









2016

The Labelling System: A Bottom-up Approach for Enriched Vocabularies in the Humanities

2016

Thiery, F., Thomas Engel

43rd Annual Conference on Computer Applications and Quantitative Methods in Archaeology, CAA 2015
<p>Shared thesauri of concepts are increasingly used in the process of data modelling and annotating resources in the Semantic Web. This growing family of linked data resources follows a top-down principle. In contrast, the Labeling System follows a bottom-up approach, enabling scientists working in the digital humanities to manage, create and publish their own controlled vocabularies in SKOS (Simple Knowledge Organization System). The created concepts can then be interlinked with well-known LOD (Linked Open Data) resources, a process named the &lsquo;Labeling Approach&rsquo;. The Labeling System is domain independent, while uniting perspectives of different scientific disciplines on the same label and therefore contributing to interdisciplinary collaboration for building up cross and inter-domain linked data communities. This paper addresses principles of the Labeling System in the light of archaeological use cases.</p>

Interpreting Heterogenous Geospatial Data using Semantic Web Technologies

2016

Timo Homburg, Claire Prudhomme, Falk WĂĽrriehausen, A Karmacharya, F Boochs, Christophe Cruz, Ana-Maria Roxin

Computational Science and Its Applications -- ICCSA 2016
<p>The paper presents work on implementation of semantic technologies within a geospatial environment to provide a common base for further semantic interpretation. The work adds on the current works in similar areas where priorities are more on spatial data integration. We assert that having a common unified semantic view on heterogeneous datasets provides a dimension that allows us to extend beyond conventional concepts of searchability, reusability, composability and interoperability of digital geospatial data. It provides contextual understanding on geodata that will enhance effective interpretations through possible reasoning capabilities. &nbsp;We highlight this through use cases in disaster management and planned land use that are significantly different. This paper illustrates the work that firstly follows existing Semantic Web standards when dealing with vector geodata and secondly extends current standards when dealing with raster geodata and more advanced geospatial operations.</p>

SEMANTIC CATALOGUE TO MANAGE DATA SOURCES IN DISASTER MANAGEMENT SYSTEM

2016

Claire Prudhomme, Roxin, Ana, Cruz, Christophe, F Boochs

The 15th International Conference on Informatics in Economy 2016
<p><span class="foldable-text" data-reactid="118" id="yui_3_14_1_1_1505396728757_1230">With the climate change, disasters occur more frequently and the need for efficient disaster management systems becomes highly recommended to save lives. This paper deals with a study of existing systems, with the intention of determining the main recent improvement in the domain. The heterogeneous data integration process is a major central point. Thus, a semantic system with three main components is proposed as a new position in the disaster management systems. These three components are a knowledge base, a reasoner and a semantic catalogue. The knowledge base provides a controlled vocabulary and allows storing information retrieval. The semantic catalogue facilitates the access to data sources adapted to user&#39;s and agent&#39;s needs. The reasoner analyzes the information in the knowledge base thus replying to the user queries. In addition, the reasoner aims at adding automatically new data sources in the semantic catalogue. The fast access to a great number of data sources is of benefit for decision-making systems such as disaster management systems.</span></p>

Vorstellung SemGIS Projekt - Einblick und Status

2016

Timo Homburg, Claire Prudhomme

n.A.









2015

Knowledge guided object detection and identification in 3D point clouds

2015

A Karmacharya, F Boochs, Burkhard Tietz

Videometrics, Range Imaging, and Applications XIII, 952804
<p><span class="Abstract" id="scm6MainContent_rptSections_lblSection_0">Modern instruments like laser scanner and 3D cameras or image based techniques like structure from motion produce huge point clouds as base for further object analysis. This has considerably changed the way of data compilation away from selective manually guided processes towards automatic and computer supported strategies. However it&rsquo;s still a long way to achieve the quality and robustness of manual processes as data sets are mostly very complex. Looking at existing strategies 3D data processing for object detections and reconstruction rely heavily on either data driven or model driven approaches. These approaches come with their limitation on depending highly on the nature of data and inability to handle any deviation. Furthermore, the lack of capabilities to integrate other data or information in between the processing steps further exposes their limitations. This restricts the approaches to be executed with strict predefined strategy and does not allow deviations when and if new unexpected situations arise. We propose a solution that induces intelligence in the processing activities through the usage of semantics. The solution binds the objects along with other related knowledge domains to the numerical processing to facilitate the detection of geometries and then uses experts&rsquo; inference rules to annotate them. The solution was tested within the prototypical application of the research project &ldquo;Wissensbasierte Detektion von Objekten in Punktwolken fĂĽr Anwendungen im Ingenieurbereich (WiDOP)&rdquo;. The flexibility of the solution is demonstrated through two entirely different USE Case scenarios: Deutsche Bahn (German Railway System) for the outdoor scenarios and Fraport (Frankfort Airport) for the indoor scenarios. Apart from the difference in their environments, they provide different conditions, which the solution needs to consider. While locations of the objects in Fraport were previously known, that of DB were not known at the beginning. &copy; (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.</span></p>

Semantic based Structuring of 3D technologies for their optimized use in cultural heritage documentation.

2015

A Karmacharya, S Wefers, F Boochs

43rd Conference of Computer Applications and Quantitative Methods in Archaeology, CAA 2015, Siena, Book of Abstracts.
<p>Constant technological progress results in new possibilities to produce reliable and rich spatial data of cultural heritage objects: for instance, museums have started to digitize their collections, more and more archaeological excavations or features and entire CH buildings have been documented in 3D. It is now necessary to establish connections among different CH disciplines and several technical disciplines, and to work on collaborative projects.</p><p>Technicians and CH experts together evaluate the best technique for specific CH object documentation, implementation and use. This discussion arises from the knowledge gaps of each counterpart in respect to the other discipline. Projects such as Agora 3D (see below) clearly demonstrate the need for an evaluation of the different available techniques.</p><p>In order to make optimal use of these technological capabilities, it is important to identify and name the information required to best serve the reasoning processes in these application fields. Correspondingly it is necessary to know about the characteristics of digitization techniques producing the content adapted to the needs of the applications. Due to the considerable complexity of instruments and processes producing the data, it is helpful to have a clear structure which relates the capabilities of the instruments to the requirements of the applications.</p><p>The COST Action TD1201 &ldquo;Colour and Space in Cultural Heritage (COSCH)&rdquo; takes this need into account, aiming to enhance the understanding among these disciplines. We will focus on the already listed, structured and evaluated available 3D technologies. At the same time, experts in spectral and CH research started to list, structure, and evaluate their knowledge. These evaluations yield a structure of technologies, and ultimately the techniques and instruments using their characteristics. The understanding of these characteristics provides insights for their potential applications. The ontology knowledge model accessible through so-called &ldquo;COSCH<sup>KR </sup>App&rdquo; provides a knowledge structure. It benefits from the development of semantic technologies from the Semantic Web framework. Semantics, which provide meanings, are captured through the conceptual structure and are defined through the ontology. The overall aim of this ontology is the development of a software tool to enable a better understanding of data acquisition techniques and their support to optimally realize cultural heritage applications.</p>

2014

Towards a knowledge model bridging technologies and applications in cultural heritage documentation

2014

F Boochs, Trémeau, A., Murphy, O., Gerke, M., Lerma, J.L., A Karmacharya, Karaszewski, M.

ISPRS Technical Commission V Symposium
<p>This paper documents the formulation of an international, interdisciplinary study, on a concerted European level, to prepare an innovative, reliable, independent and global knowledge base facilitating the use of today&rsquo;s and future optical measuring techniques for the documentation of&nbsp; cultural heritage. Cultural heritage professionals, color engineers and scientists share similar goals for the documentation, curation, long-term preservation and representation of cultural heritage artifacts. Their focus is on accuracy in the digital capture and remediation of artefacts through a range of temporal, spatial and technical constraints. A shared vocabulary to interrogate these shared concerns will transform mutual understanding and facilitate an agreed movement forward in cultural heritage documentation here proposed in the work of the COST Action Color and Space in Cultural Heritage (COSCH). The goal is a model that captures the shared concerns of professionals for a standards-based solution with an organic Linked Data model. The knowledge representation proposed here invokes a GUI interface for non-expert users of capture technologies, facilitates, and formulates their engagement with key questions for the field.</p>

The Labeling System: A New Approach to Overcome the Vocabulary Bottleneck

2014

Thiery, F., K -C Bruhn, Piotrowski, M., Colavizza, G.

DH-CASE '14
<p>Shared controlled vocabularies are a prerequisite for collaborative annotation and semantic interchange. The creation and maintenance of such vocabularies is, however, time-consuming and expensive. The diversity of research questions in the humanities makes it virtually impossible to create shared controlled vocabularies that cover a wide range of potential applications and satisfy the needs of diverse stakeholders. In this paper we present a novel conceptual approach for mitigating these problems. We propose that projects define their own vocabularies as needed and link the vocabulary terms to one or more concepts in a reference thesaurus, so that the project-specific term effectively serves as a &quot;label&quot; for a set of shared concepts. We also describe the implementation of this approach in the Labeling System. The Labeling System is a Web application that allows users to easily import concepts or create SKOS vocabularies and link the vocabulary terms to concepts from one or more reference thesauri.</p>

Innovative concepts for image based data capture and analysis of huge point clouds

2014

F Boochs

n.A.
<p>Results from two sample projects will be presented, showing possibilities to improve quality and precision of data capture and evaluation.</p><p>One example explains the potential to improve the absolute positional accuracy of a robot guided effector when applying photogrammetric strategies. Need and aims of such a tracking process are explained, followed by a description of actual solutions and their restrictions. Then the potential of photogrammetric solutions for such purposes are outlined, followed by a detailed description of the system developed. Finally, practical tests are shown, underlining that the design and realization are able to hold the challenging aims and improve the absolute accuracy of a robot by a factor of 20.</p><p>In an second example possibilities to evaluate huge data sets are presented. Due to the increasing availability of large unstructured point clouds obtained from laser scanning and/or photogrammetric data, there is a growing demand for automatic processing methods. Given the complexity of the underlying problems, several new methods resort to using semantic knowledge in particular for supporting object detection and classification. A novel approach making use of advanced algorithms is shown, in order to benefit from intelligent knowledge management strategies for the processing of 3D point clouds along with object classification in scanned scenes. In particular, these method extends the use of semantic knowledge to all stages of the processing, including the guidance of the 3D processing algorithms. The complete solution consists in a multi-stage iterative concept based on three factors: the modeled knowledge, the package of algorithms, and the classification engine.</p>

COSCH knowledge schema – an introduction

2014

F Boochs

n.A.









Sustainable Documentation in Archaeology

2014

Florian Ströbele, G Heinz, Lu Zhiyong

PDF

Sustainable Documentation in Archaeology
<p class="bodytext">A good documentation of archaeological excavations is of high importance due to the destructive characteristic of the process. Developments in technology and concepts allow new, often more effective approaches in the documentation process during excavation. Recording finds and features in their three-dimensional spatial distribution will aid at understanding the entire archaeological context after finishing field-work. Image-based documentation and 3D-scanning are valuable tools for preserving the site as a virtual excavation space on which informed archaeological analysis can be based.</p><p class="bodytext">The use of digital tools will result in manifold digital data representations. Especially these datasets must comply with certain specifications, such as formats, descriptions, meta information, etc. to be used in the long term, and thus be sustainable beyond the excavation project itself.</p><p class="bodytext">The meeting will deal with technological aspects of documenting the excavation, further archaeological processing, and data archiving.</p>

Characterisation of Spatial Techniques for Optimised Use in Cultural Heritage Documentation.

2014

S Wefers, A Karmacharya, F Boochs, Wiemann, A.-K.

Digital Heritage Progress in Cultural Heritage: Documentation, Preservation, and Protection. 5th International Conference, EuroMed 2014 Limassol, Cyprus, November 3-8, 2014 Proceedings
<p>Constant technological progress results in new possibilities to produce reliable and rich spatial data of cultural heritage objects. In order to make optimal use of these capabilities, it is important to identify and name the information required to best serve the reasoning processes in these application fields. Correspondingly it is necessary to know about the characteristics of digitization techniques producing the content adapted to the needs of the applications. Due to the considerable complexity of instruments and processes producing the data, it is helpful to have a clear structure which relates the capabilities of the instruments to the requirements of the applications. This paper addresses this topic and shows a way of structuring spatial techniques as well as how this structure can be related to applications in the field of cultural heritage.</p>

2013

Semantic Interoperability of German and European Land-Use Information

2013

H MĂĽller, F WĂĽrriehausen, Murgante, Beniamino, Misra, Sanjay, Carlini, Maurizio, Torre, CarmeloM., Nguyen, Hong-Quang, Taniar, David, Apduhan, BernadyO., Gervasi, Osvaldo

PDF

Computational Science and Its Applications – ICCSA 2013
An operational spatial information infrastructure needs feasible spatial information exchange between different stakeholders. When building spatial information infrastructures at the international level interoperability between the national level and supra-national level data becomes particularly important. The paper presents a study analyzing spatial information interoperability in the field of land-use information. In particular, the case study addresses information exchange between German and European land-use planning information. Spatial Planning in Germany is regulated by the country-specific Federal Building Code. A spatial application schema XPlanGML was developed to serve as a standard for information exchange of spatial planning documents in the national e-government processes. At the European level the ongoing European INSPIRE initiative seeks to establish a framework to enable interoperable information exchange in many themes, one of which is the theme of land-use. The paper studies interoperability aspects between the recently released German standard as defined in XPlanGML and the current status of corresponding INSPIRE data specifications in detail.

Semantics – Supportive Element for the Cooperative Evaluation of Geographical and Historical Information

2013

A Karmacharya, T. Kohr, F Boochs, K -C Bruhn, Cruz, Ch.

zfv - Zeitschrift für Geodäsie, Geoinformation und Landmanagement
<p>The emergence of the Semantic Web and its underlying knowledge technologies has brought changes in data handling. Transferring expert knowledge to machines through knowledge formalization provides us the required support in managing huge datasets like the information in the World Wide Web. In the field of geospatial technology semantic technologies not only entail the capability to achieve higher degree of data integration but also infer semantics to discover new and hidden knowledge. This is of particular interest in the field of archaeology, where complex interrelations among heterogeneous datasets exist. Although researches on semantics are active areas in geospatial communities, their initial use is mainly for spatial data integration. This article tries to go one step further and imply semantics for spatial knowledge discovery through spatial built-ins within SWRL and SPARQL. The work resembles the approach of the Open Geospatial Consortium (OGC) to define standards for ­GeoSPARQL.<br></p>

Automatic object detection in point clouds based on knowledge guided algorithms

2013

Truong, H. Q., A Karmacharya, Waldemar Kisser, F Boochs, C Chudyk, Habed, A., Voisin, Y.

SPIE Optical Metrology, International Society for Optics and Photonics, 2013
<p>The modeling of real-world scenarios through capturing 3D digital data has been proven applicable in a variety of industrial applications, ranging from security, to robotics and to fields in the medical sciences. These different scenarios, along with variable conditions, present a challenge in discovering flexible appropriate solutions. In this paper, we present a novel approach based on a human cognition model to guide processing. Our method turns traditional data-driven processing into a new strategy based on a semantic knowledge system. Robust and adaptive methods for object extraction and identification are modeled in a knowledge domain, which has been created by purely numerical strategies. The goal of the present work is to select and guide algorithms following adaptive and intelligent manners for detecting objects in point clouds. Results show that our approach succeeded in identifying the objects of interest while using various data types.</p>

Automatic Detection and Classification of Objects in Point Clouds using multi-stage Semantics

2013

Truong, H. Q., Ben Hmida, H., F Boochs, Habed, A., Cruz, Ch., Voisin, Y., Nicolle C Cruz C.

PDF

Journal of photogrammetry, remote sensing and geoinformation processing
<p><span style="line-height: 1.538em;">Due to the increasing availability of large unstructured point clouds obtained from laser scanning and/or photogrammetric data, there is a growing demand for automatic processing methods. Given the complexity of the underlying problems, several new methods try to using semantic knowledge in particular for supporting object detection and classification. In this paper, we present a novel approach which makes use of advanced algorithms to benefit from intelligent knowledge management strategies for the processing of 3D point clouds and for object classification in scanned scenes. In particular, our method extends the use of semantic knowledge to all stages of the processing, including the guidance of the 3D processing algorithms. The complete solution consists in a multi-stage iterative concept based on three factors: the modelled knowledge, the package of algorithms, and the classification engine. Two case studies illustrating our approach are presented in this paper. The studies were carried out on scans of the waiting area of an airport and along the tracks of a railway. In both cases the goal was to detect and identify objects within a defined area. With our results we demonstrate the applicability of our approach.</span></p><p>&nbsp;</p><p><span style="line-height: 1.538em;">Automatische Detektion und Klassifikation von Objekten in Punktwolken unter Nutzung mehrschichtiger Semantik. Infolge der zunehmenden Verfügbarkeit großer unstrukturierter Punktwolken aus Laserscanning und Photogrammetrie entsteht wachsender Bedarf für automatisierte Auswerteverfahren. Angesichts der häufig hohen Komplexität der in den Punktwolken enthaltenen Objekte stoßen rein datengetriebene Ansätze an ihre Grenzen. Es entstehen vermehrt Konzepte, die auf verschiedene Weise auch Gebrauch von der Semantik machen. Semantik und Algorithmik sind dabei oft eng miteinander verwoben und führen zu Limitationen in Art und Umfang der nutzbaren Semantik. Mit der vorgestellten Lösung werden Algorithmik und Semantik klar getrennt und mit den exakt auf diese Domänen zugeschnittenen Werkzeugen behandelt. Deren prozedurale Verknüpfung führt dann zu einem neuen Verarbeitungskonzept, das eine nach unserem Kenntnisstand bislang nicht erreichte Flexibilität und Vielseitigkeit in der Nutzung unterschiedlichster Semantiken besitzt und auch die Steuerung der Algorithmen integriert. Die iterative Gesamtlösung fußt auf drei Säulen, nämlich dem modellierten Wissen, dem Pool der Algorithmen und dem Identifikationsprozess. Erreichbare Resultate werden an zwei Beispielen dokumentiert. Ein Beispiel befasst sich mit der Analyse von Punktwolken aus dem Bereich der Lichtraumvermessung an Bahntrassen, das zweite mit Räumlichkeiten in einem Flughafen. In beiden Fällen müssen bestimmte Objektarten aufgefunden und klassifiziert werden.</span></p>

2012

A knowledge-based approach to the automatic algorithm selection for 3D scene annotation

2012

Truong, H. Q., F Boochs, Habed, A., Voisin, Y.

11th International Conference on Information Science, Signal Processing and their Applications (ISSPA) IEEE
<p>In this paper we present a novel approach for 3D point cloud processing with the aim of annotating objects in a scanned scene. Our method is based on human cognition to guide the 3D processing algorithms and uses semantic knowledge to manage data and identify immediate situation-dependent objectives. In particular, we have built a system that allows an automatic and flexible selection of algorithms. The selection strategy exploits knowledge to identify the geometrical features to be detected as well as the objects to be annotated at each stage of the 3D processing of the point cloud.</p>

Zusammenwirken öffentlicher und privater Akteure zur Dokumentation von Kulturlandschaft mit SemanticWebTools

2012

H MĂĽller, Boos, S., F WĂĽrriehausen

PDF

Angewandte Geoinformatik 2012
<p>Im Jahre 2010 hat das Land Rheinland-Pfalz mit dem Aufbau eines Kulturlandschaftskatasters einen landesweiten Prozess zur Sicherung und Entwicklung seiner Kulturgüter angestoßen. In einem offenen Dialog zwischen öffentlicher Verwaltung und interessierter Öffentlichkeit setzt dieses Vorhaben gleichermaßen auf das aktive Zusammenwirken öffentlicher und privater Akteure. Das Kataster &ndash; als digitale Informationsplattform konzipiert &minus; baut auf einen Datenbestand im Lande existierender öffentlicher und privater Datenbanken auf und kann von jedem interessierten Nutzer beliebig erweitert werden. Das technische Grundgefüge dieser offenen Lösung setzt sich aus einem WebGIS zur digitalen Verortung kulturlandschaftlicher Elemente und einem Wiki zur Erfassung beschreibender Informationen zu den Elementen zusammen. Angereichert ist das Wiki mit Technologien des semantischen Webs, mit deren Hilfe Auswertungen der Inhalte vorgenommen werden können. Auf dieser Basis können kulturlandschaftlich bedeutsame Räume ausgewiesen werden, die auf kommunaler Ebene Anreize für eine touristische Inwertsetzung schaffen können oder Anstöße zur Ausbildung von Entwicklungskonzepten zur Stärkung der regionalen Identifikation geben können.</p>

Spatialization of the Semantic Web

2012

F Boochs, A Karmacharya, C Cruz, Muhammad Tanvir Afzal

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Advances in Theories and Mathematical Models
<p>The abstraction of the real world melds the semantics of its objects with the spatial characteristics seamlessly. This is visible in a way the human perceives the real world where it is often difficult to pin point the spatial characteristics of the objects from their semantics. In other words the spatial characteristics are generally hidden with the semantics of the objects. As for example, describing relations of objects the terms near, far or touching are often used which are spatial relations but in general considered as semantic properties which is not true. Hence, it is a trend to consider that the spatial behaviors of objects are parts of its semantics. Similar approaches where the spatial properties are considered as part of semantics have been translated in technical advancements made by the technologies. There is a general trend to mix up spatial components in the semantics or the semantics in the spatial components within technologies. For instance, a classic GIS ignores semantics of objects to focus on the spatial components whereas a non GIS uses spatial components as the semantic parameters of the objects. As the technology is getting matured, it is moving closer to the human perception of the real world. Today, the knowledge management is being researched in real sense to model and to manage knowledge possessed by humans which is basically the perception of the real world.</p>

From Unstructured 3D Point Clouds to Structured Knowledge - A Semantics Approach

2012

F Boochs, Ben Hmida, H., C Cruz, C Nicolle, Muhammad Tanvir Afzal

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Semantics - Advances in Theories and Mathematical Models
<p>Over the last few years, formal ontologies has been suggested as a solution for several engineer problems, since it can efficiently replace standard data bases and relational one with more flexibility and reliability. In fact, well designed ontologies own lots of positive aspects, like those related to defining a controlled vocabulary of terms, inheriting and extending existing terms, declaring a relationship between terms, and inferring relationships by reasoning on existent ones. Ontologies are used to represent formally the knowledge of a domain where the basic idea was to present knowledge using graphs and logical structure to make computers able to understand and process it, (Boochs, et al., 2011). As most recent works, the tendency related to the use of semantic has been explored, (Ben Hmida, et al., 2010) (Hajian, et al., 2009) (Whiting, 2006) where the automatic data extraction from 3D point clouds presents one of the new challenges, especially for map updating, passenger safety and security improvements. However such domain is characterized by a specific vocabulary containing different type of object. In fact, the assumption that knowledge will help the improvement of the automation, the accuracy and the result quality is shared by specialists of the point cloud processing.</p>

i3mainz - Jahresbericht 2012

2012

F Boochs, Gundlach, A., J Wachter

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i3mainz - Jahresbericht
<div>Derzeit sind neben neun Professoren am Institut mehr als zwanzig wissenschaftliche Mitarbeiterinnen und Mitarbeiter mit Zeitverträgen angestellt. Neben ihnen sind Studierende mit ihren Abschlussarbeiten, Praktikanten und studentische Mitarbeiterinnen und Mitarbeiter in die Arbeit des Instituts eingebunden.</div><div>Im Jahr 2012 standen Mittel im Gesamtumfang von 1,28 Mio Euro zur Verfügung. Dazu zählten Mittel der FH Mainz, des Landes, öffentlicher Förderprogramme, der Europäischen Union und Drittmittel aus der Wirtschaft.&nbsp;</div>

2011

Integration of Spatial Processing and Knowledge Processing through the Semantic Web Stack

2011

F Boochs, A Karmacharya, C Cruz, F Marzani

4th International Conference on GeoSpatial Semantics, Eds. Christophe Claramunt, Sergei Levashkin, Michela Bertlotto









Introduction to a spatial layer within the Semantic Web framework: A proposition through web application ArchaeoKM

2011

A Karmacharya

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Université de Bourgogne
<p>Spatial technology has gained momentum under database systems. More specifically, the spatial operations and spatial functions are used to carry out spatial analysis which can be executed through these database systems. In addition, there has been significant amount of research in the field of the geospatial ontology domain in order to achieve the semantic interoperability between different data sources. Although, data interoperability is one of the main objectives of the Semantic Web technologies, the potentiality of the underlying knowledge tools and techniques have not been completely identified. With the growing influence of the Semantic Web technologies towards the application based on knowledge management and intelligent systems, the geospatial application benefits from this influence. This thesis emphasizes on the use of knowledge to manage spatial data within spatial information systems through the Semantic Web framework.</p><p>This research activity is carried out with the backdrop of the case study of the industrial archaeology. It sets up an ideal environment for the application of knowledge to manage the huge and heterogeneous dataset. The use of knowledge to manage the diversity of information was well executed through the application prototype named ArchaeoKM which is based on the Semantic Web. The ArchaeoKM framework follows the 4Ks processing steps: Knowledge Acquisition, Knowledge Management, Knowledge Visualization and Knowledge Analysis. The same processing principle of 4Ks was implemented during the spatial knowledge processing. A top level ontology was developed in order to serve as the background representation of the case study in order to adjust the spatial components. Keeping the custom, the spatial knowledge processing begins with acquiring spatial signatures of the identified objects. The spatial signatures are stored within the spatial database system with proper mapping to the objects in the knowledge base. The spatial knowledge of these objects is managed through executing the spatial functions at the database level and enriching the knowledge base with the results. This spatially enriched knowledge base is used again to analyze the spatial knowledge. This research thesis benefits from Semantic Web Rule Language in order to infer knowledge. In addition, the spatial built-ins proposed during the course add up spatial dimension to the SWRL for spatial inferences. Similarly, a spatial extension of the query language SPARQL is proposed in order to query spatial knowledge from the knowledge base.</p><p>Actually, this research thesis provides the initial steps in integrating spatial components within the Semantic Web framework. This integration process is important for both technologies. Regarding the Semantic Web, the integration of non-typical semantic information within this framework opens up doors to other data pattern making the transformation of technologies easier. Likewise, geospatial technologies and GIS systems benefits through the inclusion of knowledge in the analysis process making the analysis much closer and efficient to human interpretation.</p>

Werkzeuge zur Handhabung von Semantik

2011

A Karmacharya, C Cruz, F Boochs, H-J Pryzibilla

Aspekte eines räumlichen Informationssystems für die Industriearchäologie; Ergebnisse eines BMBF-Forschungsprojektes









Introduction of a spatial layer in the Semantic Web framework: a proposition through the Web platform ArchaeoKM

2011

A Karmacharya

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n.A.
<p>Spatial technology has gained momentum under database systems. More specifically, the spatial operations and spatial functions are used to carry out spatial analysis which can be executed through these database systems. In addition, there has been significant amount of research in the field of the geospatial ontology domain in order to achieve the semantic interoperability between different data sources. Although, data interoperability is one of the main objectives of the Semantic Web technologies, the potentiality of the underlying knowledge tools and techniques have not been completely identified. With the growing influence of the Semantic Web technologies towards the application based on knowledge management and intelligent systems, the geospatial application benefits from this influence. This thesis emphasizes on the use of knowledge to manage spatial data within spatial information systems through the Semantic Web framework.<br />This research activity is carried out with the backdrop of the case study of the industrial archaeology. It sets up an ideal environment for the application of knowledge to manage the huge and heterogeneous dataset. The use of knowledge to manage the diversity of information was well executed through the application prototype named ArchaeoKM which is based on the Semantic Web. The ArchaeoKM framework follows the 4Ks processing steps: Knowledge Acquisition, Knowledge Management, Knowledge Visualization and Knowledge Analysis. The same processing principle of 4Ks was implemented during the spatial knowledge processing. A top level ontology was developed in order to serve as the background representation of the case study in order to adjust the spatial components. Keeping the custom, the spatial knowledge processing begins with acquiring spatial signatures of the identified objects. The spatial signatures are stored within the spatial database system with proper mapping to the objects in the knowledge base. The spatial knowledge of these objects is managed through executing the spatial functions at the database level and enriching the knowledge base with the results. This spatially enriched knowledge base is used again to analyze the spatial knowledge. This research thesis benefits from Semantic Web Rule Language in order to infer knowledge. In addition, the spatial built-ins proposed during the course add up spatial dimension to the SWRL for spatial inferences. Similarly, a spatial extension of the query language SPARQL is proposed in order to query spatial knowledge from the knowledge base.<br />Actually, this research thesis provides the initial steps in integrating spatial components within the Semantic Web framework. This integration process is important for both technologies. Regarding the Semantic Web, the integration of non-typical semantic information within this framework opens up doors to other data pattern making the transformation of technologies easier. Likewise, geospatial technologies and GIS systems benefits through the inclusion of knowledge in the analysis process making the analysis much closer and efficient to human interpretation.</p>

Toward the automatic generation of semantic VRML model from unorganized 3D point clouds

2011

F Boochs, Ben Hmida, H., Nicolle C Cruz C.

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SEMAPRO 2011 - The Fifth International Conference on Advances in Semantic Processing
<p>This paper presents our experience regarding the creation of 3D semantic facility model out of unorganized 3D point clouds. Thus, a knowledge-based detection approach of objects using the OWL ontology language is presented. This knowledge is used to define SWRL detection rules. In addition, the combination of 3D processing built-ins and topological Built-Ins in SWRL rules aims at combining geometrical analysis of 3D point clouds and specialist&rsquo;s knowledge. This combination allows more flexible and intelligent detection and the annotation of objects contained in 3D point clouds. The created WiDOP prototype takes a set of 3D point clouds as input, and produces an indexed scene of colored objects visualized within VRML language as output. The context of the study is the detection of railway objects materialized within the Deutsche Bahn scene such as signals, technical cupboards, electric poles, etc. Therefore, the resulting enriched and populated domain ontology, that contains the annotations of objects in the point clouds, is used to feed a GIS system.</p>

Knowledge Base Approach for 3D Objects Detection in Point Clouds Using 3D Processing and Specialists Knowledge

2011

F Boochs, Ben Hmida, H., Nicolle C Cruz C.

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International Journal on Advances in Intelligent Systems
<p>This paper presents a knowledge-based detection of objects approach using the OWL ontology language, the Semantic Web Rule Language, and 3D processing built-ins aiming at combining geometrical analysis of 3D point clouds and specialist&rsquo;s knowledge. Here, we share our experience regarding the creation of 3D semantic facility model out of unorganized 3D point clouds. Thus, a knowledge-based detection approach of objects using the OWL ontology language is presented. This knowledge is used to define SWRL detection rules. In addition, the combination of 3D processing built-ins and topological Built-Ins in SWRL rules will allows more flexible and intelligent detection, and the annotation of objects contained in 3D point clouds. The created WiDOP prototype takes a set of 3D point clouds as input, and produces as output a populated ontology corresponding to an indexed scene visualized within VRML language. The context of the study is the detection of railway objects materialized within the Deutsche Bahn scene such as signals, technical cupboards, electric poles, etc. Thus, the resulting enriched and populated ontology, that contains the annotations of objects in the point clouds, is used to feed a GIS system or an IFC file for architecture purposes.</p>

i3mainz - Jahresbericht 2011

2011

F Boochs, K Böhm, K -C Bruhn, Kern, F., Klinge, K.-A., Klonowski, J., H Müller

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i3mainz - Jahresbericht
<div>Angewandte Forschung, Entwicklung und Technologietransfer im fachlichen Umfeld der&nbsp;<span style="line-height: 1.538em;">Geoinformatik und Vermessung sind die Arbeitsschwerpunkte im Institut. Moderne Verfahren&nbsp;</span><span style="line-height: 1.538em;">der Messtechnik für die Gewinnung raumbezogener Daten und die Technologien zu deren&nbsp;</span><span style="line-height: 1.538em;">Weiterverarbeitung, Analyse und Visualisierung stellen dabei die wichtigsten Werkzeuge dar.</span></div><div>&nbsp;</div><div><span style="line-height: 1.538em;">Im Jahr 2011 standen Mittel im Gesamtumfang von ca. &euro; 1.090.000 zur Verfügung, womit das&nbsp;</span><span style="line-height: 1.538em;">Institut erneut die Schwelle von 1 Mio. EUR überschreiten konnte. Diese Mittel wurden vor </span><span style="line-height: 1.538em;">allem zur Bezahlung des Personals verwendet. Der größte Anteil (59%) sind Drittmittel, 20%&nbsp;</span><span style="line-height: 1.538em;">stammen vom Ministerium für Bildung, Wissenschaft Jugend und Kultur Rheinland-Pfalz und&nbsp;</span><span style="line-height: 1.538em;">weitere 21% aus dem Haushalt der Fachhochschule Mainz.</span></div>

Integration of knowledge to support automatic object reconstruction from images and 3D data

2011

F Boochs, Ben Hmida, H., A Karmacharya, Marbs, A., Truong, H. Q., C Cruz, C Nicolle, A : V Habed

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Eighth International Conference on Systems, Signals and Devices (SSD) 2011
<p>Object reconstruction is an important task in many fields of application as it allows to generate digital representations of our physical world used as base for analysis, planning, construction, visualization or other aims. A reconstruction itself normally is based on reliable data (images, 3D point clouds for example) expressing the object in his complete extent. This data then has to be compiled and analyzed in order to extract all necessary geometrical elements, which represent the object and form a digital copy of it. Traditional strategies are largely based on manual interaction and interpretation, because with increasing complexity of objects human understanding is inevitable to achieve acceptable and reliable results. But human interaction is time consuming and expensive, why many researches has already been invested to use algorithmic support, what allows to speed up the process and to reduce manual work load.</p><p>Presently most of such supporting algorithms are datadriven and concentrate on specific features of the objects, being accessible to numerical models. By means of these models, which normally will represent geometrical (flatness, roughness, for example) or physical features (color, texture), the data is classified and analyzed. This is successful for objects with low complexity, but gets to its limits with increasing complexness of objects. Then purely numerical strategies are not able to sufficiently model the reality.</p><p>Therefore, the intention of our approach is to take human cognitive strategy as an example, and to simulate extraction processes based on available human defined knowledge for the objects of interest. Such processes will introduce a semantic structure for the objects and guide the algorithms used to detect and recognize objects, which will yield a higher effectiveness. Hence, our<br />research proposes an approach using knowledge to guide the algorithms in 3D point cloud and image processing.</p>

2010

Semantic-based Technique for the Automation the 3D Reconstruction Process, SemaPro

2010

F Boochs, Ben Hmida, H., C Cruz, C Nicolle

The Fourth International Conference on Advances in Semantic Processing









Wissensbasierte Objekterkennung in 3D-Punktwolken und Bildern

2010

F Boochs, Ben Hmida, H., Marbs, A., Truong, H. Q.

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30. Wissenschaftlich-Technische Jahrestagung der DGPF 2010 - 3-Ländertagung
<p>Konventionelle Algorithmen zur Erkennung von Objekten in Punktwolken sind bisher vor allem von manueller Interaktion mit entsprechend hohem zeitlichem Aufwand geprägt und aus wirtschaftlicher Sicht damit oftmals ineffizient. Ansätze für eine Automatisierung der Modellbildung verfolgen bislang überwiegend daten-getriebene Konzepte und sind angesichts der Komplexität der Objekte und des enormen Informationsgehaltes von Punktwolken in ihrem Leistungsvermögen begrenzt und nur von geringer praktischer Relevanz. Die Autoren haben sich daher mit diesem Vorhaben zum Ziel gesetzt, effiziente, intelligente Methoden für eine automatisierte Auswertung von terrestrischen Laserscannerdaten zu entwickeln. Im Gegensatz zu den bisherigen Ansätzen wird hier das Ziel verfolgt, bereits vorhandenes Wissen über die zu vermessenden Objekte in die Auswertung einfließen zu lassen. Dieses Vorwissen kann beispielsweise in Datenbanken, Bestands- oder Bauplänen enthalten sein und gestattet somit eine gezielte, objektorientierte Detektion, Identifizierung und gegebenenfalls Modellierung von komplexen Geometrien und Objekten. Von entscheidender Bedeutung ist dabei die Abbildung und Formalisierung des Wissens, damit es zur Unterstützung der Punktwolkenverarbeitung taugt. Im nachfolgenden Beitrag sollen erste Konzeptideen und Lösungsansätze des erst kürzlich gestarteten Forschungsvorhabens präsentiert werden. Die angestrebte Lösung wird ontologie-basiert sein und sich damit an den Konzepten des &bdquo;Semantic Web&ldquo; orientieren. Dies soll es gestatten, bereits vorhandene und noch zu entwickelnde nummerische Verfahren gezielt zur Erkennung von Objekten in Punktwolken und ggf. orientierten Bildern zu steuern und damit eine automatisierte, intelligente, dem jeweiligen Objekt angepasste Algorithmik zu ermöglichen. Die zu entwickelnden Verfahren werden zunächst anhand der Anforderungen in den Anwendungsbereichen des Facility Managements und der Bahnvermessung entwickelt und erprobt, sollen aber zukünftig universal auch in anderen Gebieten einsetzbar sein.</p>

Integration of Spatial Technologies and Semantic Web Technologies for Industrial Archaeology

2010

F Boochs, A Karmacharya, C Cruz, F Marzani

6th International Conference on Web Information Systems and Technologies









Spatial Rules Through Spatial Rule Built-Ins in SWRL

2010

F Boochs, A Karmacharya, C Cruz, F Marzani

Journal of Global Research in Computer Science
<p>The paper presents a method to include spatial rule within rule languages like SWRL to infer spatial rules within semantic web framework. The concept presented here could benefit both geospatial community as they benefit using the adjusted knowledge base to infer spatial rule and semantic web community as the inclusion of spatial data in its framework adds value to the technology. The methods presented here is suitable to be implemented in other tools and techniques within semantic web technology.</p>

Use of Geospatial Analyses for Semantic Reasoning

2010

F Boochs, A Karmacharya, C Cruz, F Marzani

14th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems KES 2010









i3mainz - Jahresbericht 2010

2010

F Boochs, K Böhm, K -C Bruhn, Kern, F., Klinge, K.-A., Klonowski, J., H Müller, Neitzel, F., M Schlüter

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i3mainz - Jahresbericht
<p>Schwerpunkt der Institutsaktivitäten sind angewandte Forschung, Entwicklung und Technologietransfer im fachlichen Umfeld der Geoinformatik und Vermessung. Dabei kommen im Allgemeinen moderne Verfahren der Messtechnik für die Gewinnung raumbezogener Daten zum Einsatz, deren Weiterverarbeitung, Analyse und Visualisierung sich mittels aktuellen Methoden der Informationstechnik anschließt.</p><p>&nbsp;</p><p>&nbsp;</p>

2009

Ansätze zur geometrischen und semantischen Modellierung von großen, unstrukturierten 3D-Punktmengen

2009

F Boochs, Kern, F., Marbs, A., SchĂĽtze, R.

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Photogrammetrie, Fernerkundung, Geoinformatik - Themenheft Terrestrisches Laserscanning
<p>Der zunehmende Einsatz des terrestrischen 3D-Laserscannings (TLS) für die Bereiche Bauwesen, Architektur und Archäologie liefert immer umfangreichere TLS-Punktmengen in immer kürzerer Messzeit vor Ort. Auf der Auswerteseite erfordern diese per se unstrukturierten Datenmengen in zunehmendem Maße Softwaremodule, die ebenso eine zügige und bequeme, somit auch effiziente, Verarbeitung erlauben. In diesem Artikel werden verschiedene Konzepte und Ansätze zur Konstruktion von halb- und vollautomatisierten Auswertealgorithmen für 3D-Punktmengen vorgestellt. Dabei werden die zu bewältigenden Aufgabenstellungen, wie z.B. Kugel- und Gebäuderekonstruktion, auf spezielle exakt formulierte Detailprobleme begrenzt, sodass das Ziel eines automatisierten Auswertungsprozesses auch in der Praxis erreicht wird. Die Algorithmen arbeiten entweder auf rein geometrischer Basis oder unter Zuhilfenahme von Vorwissen in Form einer Ontologie. Die Verarbeitungsprozesse sind sowohl daten- als auch modellgetrieben. Die Anwendungsbeispiele beschäftigen sich u.a. mit der Passkugelextraktion, der Querprofilableitung bei Schienenverkehrsanlagen und der Modellierung von Gebäudeinnenräumen. Teilweise lassen sich die dargestellten Lösungen durch einfache Variation der Eingangsparameter auf vergleichbare Anwendungsbereiche übertragen.</p>

i3mainz - Jahresbericht 2009

2009

F Boochs, K Böhm, K -C Bruhn, Kern, F., Klonowski, J., H Müller, Neitzel, F., M Schlüter, Zipf, A.

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i3mainz - Jahresbericht
<p>Das Institut ist mit der Wahrnehmung von Aufgaben im Bereich der angewandten Forschung und Entwicklung sowie des Technologietransfers im fachlichen Umfeld der Geoinformatik und Vermessung beauftragt. Im Zentrum der Arbeiten steht im Allgemeinen die Gewinnung, Verarbeitung und Visualisierung raumbezogener Daten verschiedenartigster Objekte.</p><p>&nbsp;</p><p>&nbsp;</p>

2008

Industrial Archaeology: Case study of Knowledge Management for Spatial Data of Findings

2008

F Boochs, A Karmacharya, C Cruz, F Marzani

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Adaptive Hypermedia
<p>Shifting from conventional approaches to an unusual approach in industrial archaeology, we suggest the use of a web platform based on semantic web technologies and knowledge management. This platform is used to store data during the excavation process and to manage knowledge acquired during the identification process of the findings. The principle of our approach consists in using semantic annotations in order to have a semantic view on data sets. The shared ontology that defines an index on the semantic annotations allows us to build a global schema between data sources. This global schema allows annotating, indexing, searching and retrieving data and documents.</p>