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ABSTRACT: In 2002, Egenhofer described his conceptual vision of the future geospatial semantic Web. As a contribution towards the concretization of this approach, we propose here a spatial ontology that can be used to attach spatial characteristics to Web resources, coupled with a spatial reasoner, called ONTOAST. Our work is applied to the field of semantic analysis, a new search paradigm for the Semantic Web, that answers queries like "Is instance x in any way connected to instance y". However, semantic analysis has been defined for RDF(S) graphs only, and has, in this context, a limited power of expression. We propose here the adaptation of this search paradigm to OWL 2 ontologies, with the objective of gaining more expressivity and activating more powerful inferences. We also investigate several ways of exploiting spatial information in the process of semantic association discovery. The purpose is to infer new and possibly interesting ontology paths between target instances, based on spatial relations existing between individuals. Then we show how spatial contexts are handled in order to limit the search space to a given spatial region.
Geoinformatics, 2009 17th International Conference on; 09/2009
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ABSTRACT: The progress and the continuous evolution of computer capacities, as well as the emergence of the X3D standard have recently boosted the 3D domain. Associating some semantics with 3D contents becomes a major issue specially for reusing such contents or pieces of content after having extracted them from existing 3D scenes. In this paper, we address this issue by proposing a generic semantic annotation model for 3D, called 3DSEAM (3D semantics annotation model). 3DSEAM aims at indexing 3D contents considering visual, geometric and semantic aspects. 3DSEAM is instantiated using MPEG 7 that we have extended with 3D specific locators. These locators link some visual, geometric and semantic features to the corresponding X3D fragments. These features can then be used for indexing and querying.
Multimedia, Seventh IEEE International Symposium on; 01/2006
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ABSTRACT: This paper addresses the adaptation of dynamic and synchronized multimedia presentations built by querying XML compatible data sources. We provide WIS designers with facilities for describing presentations whose content is not known at design time in terms of quantity, but only after the execution of queries. Our approach relies on the definition of a template. A template consists of a model that aims at automatically adapting the multimedia content of a presentation to both the user's profile and the characteristics of her/his access device. We show here how a template is built and how adaptations of the presentation are performed when the quantity of information and/or the material capabilities of the access devices (e.g. display size), do not match the template's spatiotemporal specifications.
Web Intelligence, 2005. Proceedings. The 2005 IEEE/WIC/ACM International Conference on; 10/2005
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ABSTRACT: In this paper, we present a framework for context-based awareness support designed for Web-based groupware systems. Nowadays, such systems can be accessed through Web-enabled mobile devices, such as PDAs and cellular phones, which allow their users to perform simple tasks, such as contacting colleagues or reading messages. However, these devices present some constraints related to their intrinsic characteristics (reduced display size, limited memory capacity). These constraints make more acute the need for information filtering. We present a framework for awareness support which is able to adapt the awareness information to the user's context, in order to reduce the risk of information overload. This framework, called BW-M, selects among the available awareness information that which matches the user's, represented through pre-defined profiles, according to her/his current context.
Computer Supported Cooperative Work in Design, 2005. Proceedings of the Ninth International Conference on; 06/2005
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ABSTRACT: Introduces the notions of mask and multiple format for setting up a progressive access to information in an information system. Masks consist of more or less complete representations of the structure of information while multiple formats correspond to different representations available for multimedia data. We describe how these two notions are integrated into AROM, an object-based knowledge representation system which supports a UML-like formalism, by instantiating a model called PAM (Progressive Access Model). More generally, a progressive and adapted access to information can be given to users of any information system by simply adapting the PAM to the underlying data schema and coupling it with the target data or knowledge base.
Information Technology: Coding and Computing, 2002. Proceedings. International Conference on; 05/2002
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ABSTRACT: This paper addresses the problem of goal-driven simulation. Goal-driven simulation is a task frequently performed by users of simulation systems. It consists in determining, when possible, an assignment of one or several decision variable(s) in order to obtain a particular value for a specific goal variable. This task is poorly supported in simulation systems because of lack of appropriate algorithms. Some systems assist goal-driven simulation with a functionality called target value computation. This functionality allows users to set a value for a goal variable and to get the value of a decision variable by running a simulation “backwards” from this goal. However, target value computation is insufficient in current simulation systems: it does not deal with models involving conditional expressions in equations-a common case in practice-nor with under- and over-constrained problems, which frequently occur during goal-driven simulation. We present an algorithm which overcomes these difficulties. We propose to combine graph theoretic methods for monitoring the numerical solving process of the model and interval constraint reasoning for dealing with under-constrained and over-constrained problems. This algorithm, implemented in a simulation environment called AMIA, has been successfully applied to several large models containing thousands of equations
Simulation Conference Proceedings, 1999 Winter; 02/1999
