Authors:
Gilles Gesquière
1
;
Clément Mignard
2
and
Christophe Nicolle
3
Affiliations:
1
LSIS - UMR CNRS 6168 and IUT de l'Université de Provence, France
;
2
Active3D, France
;
3
LE2I – UMR CNRS 5158, IUT Dijon-Auxerre and Université de Bourgogne, France
Keyword(s):
Ontology, Knowledge Acquisition, Geographical Information System (GIS), Building Information Systems (BIM), Industry Foundation Classes (IFC).
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Collaboration and e-Services
;
Complex Systems Modeling and Simulation
;
Data Engineering
;
e-Business
;
Enterprise Information Systems
;
Health Information Systems
;
Integration/Interoperability
;
Interoperability
;
Knowledge Management and Information Sharing
;
Knowledge Management Projects
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Sensor Networks
;
Simulation and Modeling
;
Software Agents and Internet Computing
;
Software and Architectures
;
Symbolic Systems
;
Tools and Technology for Knowledge Management
Abstract:
Interoperability of information systems is partially resolved due to many standards such as networks protocols, XML derived languages and object oriented programming. Nevertheless, semantic heterogeneity limits collaborative works and interoperability. Despite ontology and other semantic technics, the binding of heterogeneous information systems requires new technics of managing and displaying information according to the semantic representation of each stakeholder of the collaboration. In this paper we addressed the problem of merging geographical information systems and building information model. The way to achieve this goal must solve several heterogeneity problems due to the data life cycle, the data temporality, the binding between 2D geo-referenced modelling and 3D geometric models or problem of scalability for real-time 3D display from remote server for managing a real environment of several million m2. To bridge this gap, we present a new architecture based on a semantic mul
ti-representation of heterogeneous information.
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