| 书目名称 | Ontology Matching | | 编辑 | Jérôme Euzenat,Pavel Shvaiko | | 视频video | | | 概述 | The most comprehensive state-of-the-art overview of techniques for database schema matching and semantic web applications.Summarizes research from the database, information systems, and artificial int | | 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, and artificial intelligence..The second edition of .Ontology Matching. has been thoroughly revised and updated to reflect the most recent advances in this quickly developing area, which resulted in mo | | 出版日期 | Book 2013Latest edition | | 关键词 | Catalogue Integration; Data Integration; Information Integration; Ontologies; Ontology Alignment; Ontolog | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-642-38721-0 | | isbn_softcover | 978-3-662-50042-2 | | isbn_ebook | 978-3-642-38721-0 | | copyright | Springer-Verlag Berlin Heidelberg 2013 |
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发表于 2025-3-21 18:53:01
