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Titlebook: On the Move to Meaningful Internet Systems 2004: CoopIS, DOA, and ODBASE; OTM Confederated Int Robert Meersman,Zahir Tari Conference procee

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Automated Supervision of Data Production – Managing the Creation of Statistical Reports on Periodic data is gathered periodically and then subsequently aggregated and separated during numerous production steps. These production steps are arranged in a specific sequence (workflow or production chain), and can be located worldwide. Today, a need for improving and automating methods of supervision fo
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Deriving Sub-schema Similarities from Semantically Heterogeneous XML Sourcesost automatic and light. It consists of two phases: the former one selects the most promising pairs of sub-schemas; the latter one examines them and returns only the similar ones. In the paper we discuss some possible applications that can benefit of derived sub-schema similarities and we illustrate
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Modelling with Ubiquitous Agents a Web-Based Information System Accessed Through Mobile Devicesn) access to a . through their .. . focuses on the exchange of information between MDs seen as peer ubiquitous agents and takes into account the user’s needs, location and the limited configuration of her/his MD for displaying the information. . also handles two important aspects of a nomadic use of
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ieval. However, most existing methods are mainly built based upon matrix optimization without high-order correlation and equally treat the training instances, which fail to fuse heterogeneous sources and ignore the heuristic information contained by the sampling order. To this end, we, for the first
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Wil van der Aalst,Christoph Bussler,Avigdor Galser’s destination to visit next. It is important for both the location-based service providers and users. Most of the existing studies have not taken full advantage of spatio-temporal information and user category preference, these are very important for analyzing user preference. Therefore, we prop
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Walid Gaaloul,Sami Bhiri,Claude Godartfficulties in modeling the hierarchical label structure. They focus on using the graph embedding methods to encode the hierarchical structure, ignoring that the HTC labels are based on a tree structure. There is a difference between tree and graph structure: in the graph structure, message passing i
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