| 书目名称 | Ontology Matching | | 编辑 | Jérôme Euzenat,Pavel Shvaiko | | 视频video | | | 概述 | First state-of-the-art overview of techniques applicable to database schema matching and semantic web applications.Summarizes research from database, information systems, and artificial intelligence c | | 图书封面 |  | | 描述 | .Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce heterogeneity: it just raises heterogeneity problems to a higher level...Euzenat and Shvaiko’s book is devoted to ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Ontology matching aims at finding correspondences between semantically related entities of different ontologies. These correspondences may stand for equivalence as well as other relations, such as consequence, subsumption, or disjointness, between ontology entities. Many different matching solutions have been proposed so far from various viewpoints, e.g., databases, information systems, artificial intelligence...With .Ontology Matching., researchers and practitioners will find a reference book which presents currently available work in a uniform framework. In particular, the work an | | 出版日期 | Book 20071st edition | | 关键词 | Alignment; Extensible Markup Language (XML); Web Services; XML; artificial intelligence; classification; d | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-49612-0 | | isbn_ebook | 978-3-540-49612-0 | | copyright | Springer-Verlag Berlin Heidelberg 2007 |
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发表于 2025-3-21 19:31:47
