Partner und Internationale Organisationen
(Englisch)
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AT, BE, CH, DE, DK, ES, FR, HR, IT, LV, NL, NO, SE, SI, SK, UK
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Abstract
(Englisch)
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The sustainable development concept requires that urban projects take into account and integrate multiple fields of knowledge such as construction, roads and transport, air and water quality, energy, etc. During the last decades, researchers and practitioners have devised numerous models to reason about situations and projects, or to perform simulations in all these domains. However, these models have been developed independently and hence they are hard to inter-connect, thus it is difficult to build decision-support or visualization tools that rely on several models. It is generally recognized that explicitly exposing the concepts that a model refers to is a first, and necessary, step toward interoperation. Thus this research will concentrate on the conceptual description of the models and their interconnection. The aim of this project is to create a semantic digital library system for storing and interconnecting urban models and resources. The term semantic refers here to the fact that each model will be semantically described by linking it to the concepts it deals with. These concepts will be found in a conceptual layer made of several aligned ontologies. To build the core of this network of ontologies we have created formal versions (in OWL) of the CityGML, Urbamet, and Geonames ontologies and we have aligned them. Thus, this core represents the concepts that are specific to 3D city models, the general concepts of the urban area, and the names of the world geographic entities. Using this ontological core we have developed algorithms to interconnect heterogeneous models, taking as use case the interconnection between text coropora and 3D city models. The matching algorithm uses text annotations, geographic name recognition, and semantic relation chains to find the best matches between document (parts) and the city objects (buildings, roads, etc.) described in a 3D city models . The last phase of the project will be dedicated to the evaluation of the matching techniques and to creation of techniques to visualize library resources (documents) within 3D city models (using the matching techniques to compute element positionning)
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