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

Dr. Ashish Karmacharya

Dr. Ashish Karmacharya

Fachbereich Technik –
Geoinformatik & Vermessung
Raum: C2.22
Telefon: +49 6131-628-1477
Fax: +49 6131-628-91477

Funktionen

  • – Wissenschaftlicher Mitarbeiter

Forschung

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Dr. Ashish Karmacharya

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Telefon: 
+49 6131-628-1477
Fax: 
+49 6131-628-91477
Raum: 
C2.22
Funktionen: 
Wissenschaftlicher Mitarbeiter

Projekte

The KnowDIP project aims at the conception of a framework for an automatic object detection in unstructured and heterogeneous data. This framework uses a representation of human…
Wissensbasierte Detektion von Objekten in Punktwolken fĂĽr Anwendungen im Ingenieurbereich.

Publikationen

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

2017

Wefers, S.,
Karmacharya, A.,
Boochs, F.,
Heinz, G.

BibTex

EVA Berlin 2017. Elektronische Medien & Kunst, Kultur und Historie 24. Berliner Veranstaltung der internationalen EVA-Serie Electronic Media and Visual Arts, 2017

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, COSCHKR, that employs reasoning and recommends optimal recording technology(ies) according to the application requirements of the recorded and processed data. COSCHKR 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.


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

2017

Wefers, S.,
Karmacharya, A.,
Boochs, F.

BibTex

gis.Science

Experts’ 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.


Knowledge Based Recommendation on Optimal Spectral and Spatial Recording Strategy of Physical Cultural Heritage Objects

2016

Karmacharya, A.,
Wefers, S.,
Boochs, F.

BibTex

SEMAPRO 2016: The 10th Internat. Conference on Advances in Semantic Processing

Ontologies have traditionally been used to represent knowledge of a specific domain. They are also used to provide a base to infer the knowledge present inside them. However, the applications of ontologies within the Cultural Heritage (CH) community have been restricted to providing standard documentation for significant heritage objects. E.g., widely used ontology within CH disciplines, International Committee for Documentation Conceptual Reference Model (CIDOC CRM) is designed to provide standards in documenting archival information of physical CH object. There has been hardly any work relating the objects to their documentation purposes. In this paper, we present the Colour and Space in Cultural Heritage Knowledge Representation (= COSCHKR) ontology – a multi-faceted ontology. With COSCHKR, we present a system that infers inter-woven descriptive semantics of different involved CH disciplines in recording CH objects to recommend optimal spatial and spectral technical solutions to humanities experts and guide through the underlying complexities while recording their objects. It takes numbers of facts into consideration including physical characteristics of the CH objects, the characteristics of their surroundings and even other relevant facts such as budget or staff competence to infer against the characteristics of the technologies for a proper recommendation. In contrast to a typical Recommender System, which does the same for web-based content through stochastic methods, we use descriptive semantics at the concept level.


Development of a platform recommending 3D and spectral digitisation strategies.

2016

Wefers, S.,
Karmacharya, A.,
Boochs, F.

BibTex

Virtual Archaeology Review

Spatial and spectral recording of cultural heritage objects is a complex task including data acquisition, processing and analysis involving different technical disciplines. Additionally, the development of a suitable digitisation strategy satisfying the expectations of the humanities experts needs an interdisciplinary dialogue often suffering from misunderstanding and knowledge gaps on both the technical and humanities sides. Through a concerted discussion, experts from the cultural heritage and technical domains currently develop a so-called COSCH KR (Colour and Space in Cultural Heritage Knowledge Representation) platform that will give recommendations for spatial and spectral recording strategies adapted to the needs of the cultural heritage application. The platform will make use of an ontology through which the relevant parameters of the different domains involved in the recording, processing, analysis, and dissemination of cultural heritage objects are hierarchically structured and related through rule-based dependencies. Background and basis for this ontology is the fact that a deterministic relation exists between (1) the requirements of a cultural heritage application on spatial, spectral, as well as visual digital information of a cultural heritage object which itself has concrete physical characteristics and (2) the technical possibilities of the spectral and spatial recording devices. Through a case study which deals with the deformation analysis of wooden samples of cultural heritage artefacts, this deterministic relationship is illustrated explaining the overall structure and development of the ontology. The aim of the COSCH KR platform is to support cultural heritage experts finding the best suitable recording strategy for their often unique physical cultural heritage object and research question. The platform will support them and will make them aware of the relevant parameters and limitations of the recording strategy with respect to the characteristics of the cultural heritage object, external influences, application, recording devices, and data.


Interpreting Heterogenous Geospatial Data using Semantic Web Technologies

2016

Homburg, T.,
Prudhomme, C.,
WĂĽrriehausen, F.,
Karmacharya, A.,
Boochs, F.,
Cruz, C.,
Roxin, A.M.

BibTex

Computational Science and Its Applications -- ICCSA 2016

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.  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.


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

2015

Karmacharya, A.,
Wefers, S.,
Boochs, F.

BibTex

43rd Conference of Computer Applications and Quantitative Methods in Archaeology, CAA 2015, Siena, Book of Abstracts.

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.

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.

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.

The COST Action TD1201 “Colour and Space in Cultural Heritage (COSCH)” 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 “COSCHKR App” 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.


Knowledge guided object detection and identification in 3D point clouds

2015

Karmacharya, A.,
Boochs, F.,
Tietz, B.

BibTex

Videometrics, Range Imaging, and Applications XIII, 952804

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’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’ inference rules to annotate them. The solution was tested within the prototypical application of the research project “Wissensbasierte Detektion von Objekten in Punktwolken für Anwendungen im Ingenieurbereich (WiDOP)”. 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. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.


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

2014

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

BibTex

ISPRS Technical Commission V Symposium

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’s and future optical measuring techniques for the documentation of  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.


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

2014

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

BibTex

Digital Heritage Progress in Cultural Heritage: Documentation, Preservation, and Protection. 5th International Conference, EuroMed 2014 Limassol, Cyprus, November 3-8, 2014 Proceedings

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.


Automatic object detection in point clouds based on knowledge guided algorithms

2013

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

BibTex

SPIE Optical Metrology, International Society for Optics and Photonics, 2013

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.


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

2013

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

BibTex

zfv - Zeitschrift für Geodäsie, Geoinformation und Landmanagement

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.


Spatialization of the Semantic Web

2012

Boochs, F.,
Karmacharya, A.,
Cruz, C.,
Afzal, M.T.

PDF / BibTex

Advances in Theories and Mathematical Models

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.


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

2011

Karmacharya, A.

PDF / BibTex

Université de Bourgogne

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.

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.

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.


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

2011

Karmacharya, A.

PDF / BibTex

n.A.

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.
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.
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.


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

2011

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

PDF / BibTex

Eighth International Conference on Systems, Signals and Devices (SSD) 2011

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.

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.

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
research proposes an approach using knowledge to guide the algorithms in 3D point cloud and image processing.


Werkzeuge zur Handhabung von Semantik

2011

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

BibTex

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

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

2011

Boochs, F.,
Karmacharya, A.,
Cruz, C.,
Marzani, F.

BibTex

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

ArcheoKM ein räumliche Informationssystem für die Industriearchäologie

2011

Karmacharya, A.,
Boochs, F.,
Pryzibilla, H.J.

BibTex

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

Use of Geospatial Analyses for Semantic Reasoning

2010

Boochs, F.,
Karmacharya, A.,
Cruz, C.,
Marzani, F.

BibTex

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

Spatial Rules Through Spatial Rule Built-Ins in SWRL

2010

Boochs, F.,
Karmacharya, A.,
Cruz, C.,
Marzani, F.

BibTex

Journal of Global Research in Computer Science

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.


Integration of Spatial Technologies and Semantic Web Technologies for Industrial Archaeology

2010

Boochs, F.,
Karmacharya, A.,
Cruz, C.,
Marzani, F.

BibTex

6th International Conference on Web Information Systems and Technologies

ArchaeoKM: Realizing Knowledge of the Archaeologists

2010

Boochs, F.,
Karmacharya, A.,
Cruz, C.,
Marzani, F.

BibTex

Von HandaufmaĂź bis Hightech III

ArchaeoKM: A tool to Manage Knowledge from Archaeological Data

2010

Boochs, F.,
Karmacharya, A.,
Cruz, C.,
Marzani, F.

BibTex

CAA10

Wissenmanagement räumlicher Daten - Fallstudie mit industriearchäologischen Befunden.

2009

Karmacharya, A.,
Pryzibilla, H.J.,
GrĂĽnkemeier, A.

BibTex

Denkkmäler3.de - Industriearchäologie, Tagungsband des interdisziplinären Kolloquiums vom 5. bis 7. November 2008 in Essen

Support of Spatial Analysis through a Knowledgebase - A new concept to exploit spatial information shown for Industrial Archaeology

2009

Boochs, F.,
Karmacharya, A.,
Cruz, C.,
Marzani, F.

BibTex

Proc. 24th International Cartographic Conference.

ArchaeoKM: Toward a Better Archaeological Datasets Management.

2009

Boochs, F.,
Karmacharya, A.,
Cruz, C.,
Marzani, F.

BibTex

“Proc. CAA09”

Reconstruction 3D sémantique d'objets architecturaux

2008

Boochs, F.,
Karmacharya, A.,
Cruz, C.,
Marzani, F.

PDF / BibTex

uBscience, No. 3

Cet article présente une méthode de reconstruction 3D de bâtiment à partir de nuages de points provenant de la mesure d’un scanner laser 3D. L’objectif est d’avoir, au final, une définition sémantique associée au modèle géométrique reconstruit afin d’être exploitable rapidement dans les logiciels CAO/DAO. Cette méthode se fonde sur l’idée qu’il est possible d’améliore la reconstruction d’une scène 3D à partir d’un nuage de points de manière automatique, si le contexte sémantique de la scène est défini. Pour atteindre ces objectifs, les recherches entreprises depuis plusieurs années sont pluridisciplinaires. En effet, les techniques de reconstruction 3D font appel aux méthodes de vision artificielle de l’équipe M2D+ du laboratoire Le2i situé à Dijon et de l’institut de recherche appliquée i3mainz situé à Mayence en Allemagne. Concernant la partie gestion de la connaissance, celle-ci fait appel aux techniques des systèmes d’information et bases de données de l’équipe SISI du laboratoire Le2i, située également à Dijon.


Managing knowledge for Spatial Data: A Case study of Knowledge Management for Spatial Data of Findings

2008

Boochs, F.,
Karmacharya, A.,
Cruz, C.,
Marzani, F.

PDF / BibTex

Int. Conference "Digital Heritage in the new knowledge environment: shared spaces & open paths to cultural content"

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.


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

2008

Boochs, F.,
Karmacharya, A.,
Cruz, C.,
Marzani, F.

PDF / BibTex

Adaptive Hypermedia

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.


Towards a Knowledge Model to Document and Select Algorithms and Processes in Cultural Heritage.

0

Boochs, F.,
Reich, T.,
Trémeau, A.,
Karmacharya, A.,
Heinz, G.,
Kato, Z.,
Tamas, L.,
Karaszewski, M.,
Gerke, M.,
Murphy, O.

BibTex

Traitement et Analyse de l’Information Méthodes et Applications, TAIMA, Hammamed, Tunisia, 11-16 May 2015