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Titlebook: Business Information Systems; 11th International C Witold Abramowicz,Dieter Fensel Conference proceedings 2008 Springer-Verlag Berlin Heide

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31#
發(fā)表于 2025-3-26 23:11:38 | 只看該作者
32#
發(fā)表于 2025-3-27 03:12:02 | 只看該作者
Discovering Semantics in Multimedia Content Using Wikipedia information retrieval in an e-Learning environment where very often a large number of multimedia objects and information sources are used in combination. Semantic support is given through intelligent use of Wikipedia in combination with statistical Information Extraction techniques.
33#
發(fā)表于 2025-3-27 05:38:16 | 只看該作者
Combining Structure and Semantics for Ontology-Based Corporate Wikisputers in a query answering or reusability process. This paper details the features and architecture of a wiki-farm system that combines structure and semantics in order to collaboratively produce ontology-based data and immediately reuse it in wiki pages to enrich browsing and querying capabilities
34#
發(fā)表于 2025-3-27 12:40:02 | 只看該作者
Agreeing While Disagreeing, a Best Practice for Business Ontology Development our ability to agree. While we are interested in methods and technologies that support shared agreement, we somehow tend to forget the disagreement; indeed, it is also a part of reality..In the Semantic Web field, most of research activities investigate ontology agreement and its formalization, rat
35#
發(fā)表于 2025-3-27 14:17:26 | 只看該作者
36#
發(fā)表于 2025-3-27 18:41:43 | 只看該作者
A Supply Chain Management Approach to Logistics Ontologies in Information Systemscesses. The problem with most current such models, however, is a lack of formal semantics which prevents automated data integration across organi-zational boundaries. In this paper, we take the perspective of supply chain management and employ a well-grounded model which provides core concepts of in
37#
發(fā)表于 2025-3-28 00:57:19 | 只看該作者
38#
發(fā)表于 2025-3-28 02:46:09 | 只看該作者
Community-Driven Ontology Evolution: Gene Ontology Case Studya typical and advanced case study of a community-driven ontology creation and evolution. We use this case study to derive and illustrate factors that limit dynamic knowledge sharing in community environments. Specifically, we analyze ontology evolution implemented by the Gene Ontology community over
39#
發(fā)表于 2025-3-28 10:03:12 | 只看該作者
40#
發(fā)表于 2025-3-28 11:21:50 | 只看該作者
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