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Abstract

Ontologies are viewed as the silver bullet for many applications, but in open or evolving systems, different parties can adopt different ontologies. This increases heterogeneity problems rather than reducing heterogeneity. This book proposes ontology matching as a solution to the problem of semantic heterogeneity, offering researchers and practitioners a uniform framework of reference to currently available work. The techniques presented apply to database schema matching, catalog integration, XML schema matching and more. 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 and the techniques presented in this book can equally be applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting (i) the state of the art and (ii) the latest research results in ontology matching by providing a detailed account of matching techniques and matching systems in a systematic way from theoretical, practical and application perspectives.

Date

20. 6.2012 19:08:22

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LCSH

Artificial intelligence / Philosophy

Subject

Artificial intelligence / Philosophy

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LCSH

Artificial intelligence
Artificial Intelligence

Subject

Artificial intelligence
Artificial Intelligence

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LCSH

Artificial intelligence

Subject

Artificial intelligence

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Footnote

Originaltitel: Machines who think: a personal inquiry into the history and prospects of artificial intelligence

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LCSH

Artificial intelligence / Philosophy

Subject

Artificial intelligence / Philosophy

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Content

Vgl. auch die Standpunkte in: Collins, H.M.: A review of Hubert Dreyfus' What computers still can't do in: Artificial intelligence 80(1996) no.1, S.99-191.

Footnote

HST und ZST werden in verschiedenen Katalogen auch in vertauschter Reihenfolge angegeben (vgl. die Gestaltung des Covers und Titelblatts). Titel des Original: What computer can't do: the limits of artificial intelligence.

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LCSH

Artificial intelligence

Subject

Artificial intelligence

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LCSH

Artificial intelligence

Subject

Artificial intelligence

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LCSH

Artificial intelligence

Subject

Artificial intelligence

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Date

18. 6.2018 19:22:02