Institut für Raumbezogene Informations- und Messtechnik
Hochschule Mainz - University of Applied Sciences
Hochschule Mainz - University of Applied Sciences
 Das i3mainz unterstützt das Heliopolis-Projekt im Kairener Stadtteil Mataryia mit dem Ziel, das Forschungsdatenmanagement der Grabung zu erarbeiten und umzusetzen. Die Ergebnisse… |
 Modellierung der historischen Geographie Nordmesopotamiens im 2. Jt. v. Chr. mittels der integrierten Analyse von Texten, Archäologie und Raum, Geoinformatik und dem semantischen… |
This paper presents DASIS (Distributed Archaeological Sites Information System) that serves as a virtual research environment for settlement structure analyses. In the past decade heterogeneous datasets of the West-Central European Neolithic have been generated in the context of several research projects. A key challenge is the integration of these complex project-specific data models with one-dimensional data tables of a Web GIS.
It will suggest potential ways to join archaeological data and to combine relational data structures providing spatial access on the data to enable further analysis. This scenario entails multiple problems that are prototypical and still lack a general solution. It proposes a modular data concept that is transferable to similar projects. At the same time it reviews and evaluates qualified frameworks that allow for implementing an individually tailored data model into an archaeological information system with GIS capabilities.ment of different methods for sustaining contributor participation through time and a discussion of their implications for the sustainability of the MicroPasts project and (potentially) other archaeological crowd-sourcing endeavours.
Dense terrestrial laser scanning (TLS) datasets and its various types of representation provide 3D spatial information in a great level of detail. However, to apply TLS data in the spatial studies, first it is necessary to derive a 3D model that accounts for the perspectives. In addition to geometry information these models require integration of complex semantic data. The whole process is often a challenging and time-demanding task, which involves many critical decisions. This paper gives an outlook on current modeling techniques and standard formats that are used to exchange and store 3D building information. Moreover it describes development of the IBR software architecture, which allows users to collect, store and analyze spatial coherences between object geometry and semantic content. The use case of the research focuses on the analysis of complex semantic interrelationships between the objects inside religious interiors. Furthermore it explores the potential to express these relationships through standard formats for 3D building information modeling like CityGML and Industry Foundation Classes (IFC).
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 "label" 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.
2013
Foley, S.F.,
Alt, K.W.,
Andreae, M.O.,
Bruhn, K.C.,
Crutzen, P.J.,
Esper, J.,
Gronenborn, D.,
Gaudzinski-Windheuser, S.,
Jacob, D.E.,
Jordan, D.,
Kadereit, J.W.,
Lelieveld, J.,
Pöschl, U.,
Schöne, B.R.,
Scholz, D.,
Schreg, R.,
Sirocko, F.,
Tost, H.,
Vött, A.,
Weller, C.G.
As efforts to recognize the Anthropocene as a new epoch of geological time are mounting, the controversial debate about the time of its beginning continues. Here, we suggest the term Palaeoanthropocene for the period between the first, barely recognizable, anthropogenic environmental changes and the industrial revolution when anthropogenically induced changes of climate, land use and biodiversity began to increase very rapidly. The concept of the Palaeoanthropocene recognizes that humans are an integral part of the Earth system rather than merely an external forcing factor. The delineation of the beginning of the Palaeoanthropocene will require an increase in the understanding and precision of palaeoclimate indicators, the recognition of archaeological sites as environmental archives, and inter-linking palaeoclimate, palaeoenvironmental changes and human development with changes in the distribution of Quaternary plant and animal species and socio-economic models of population subsistence and demise.
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 ÂGeoSPARQL.
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2011
Boochs, F.,
Böhm, K.,
Bruhn, K.C.,
Kern, F.,
Klinge, K.A.,
Klonowski, J.,
MĂĽller, H.
2010
Boochs, F.,
Böhm, K.,
Bruhn, K.C.,
Kern, F.,
Klinge, K.A.,
Klonowski, J.,
MĂĽller, H.,
Neitzel, F.,
SchlĂĽter, M.
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.
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2009
Boochs, F.,
Böhm, K.,
Bruhn, K.C.,
Kern, F.,
Klonowski, J.,
MĂĽller, H.,
Neitzel, F.,
SchlĂĽter, M.,
Zipf, A.
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.
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2008
Boochs, F.,
Böhm, K.,
Bruhn, K.C.,
Kern, F.,
Klonowski, J.,
MĂĽller, H.,
Neitzel, F.,
SchlĂĽter, M.,
Zipf, A.