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Ontology Matching als eBook von - 13 Angebote vergleichen
Preise | 2013 | 2014 | 2018 | 2019 |
---|---|---|---|---|
Schnitt | € 71,39 | € 71,39 | € 64,46 | € 79,93 |
Nachfrage |
Ontology Matching
ISBN: 9783642387210 bzw. 3642387217, in Deutsch, Springer Berlin, neu, E-Book, elektronischer Download.
Ontology Matching: 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. Englisch, Ebook.
Ontology Matching
ISBN: 9783642387210 bzw. 3642387217, vermutlich in Englisch, Springer Shop, neu, E-Book, elektronischer Download.
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 more than 150 pages of new content. In particular, the book includes a new chapter dedicated to the methodology for performing ontology matching. It also covers emerging topics, such as data interlinking, ontology partitioning and pruning, context-based matching, matcher tuning, alignment debugging, and user involvement in matching, to mention a few. More than 100 state-of-the-art matching systems and frameworks were reviewed. With Ontology Matching, researchers and practitioners will find a reference book that presents currently available work in a uniform framework. In particular, the work and the techniques presented in this book can be equally 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 systematic and detailed account of matching techniques and matching systems from theoretical, practical and application perspectives. eBook.
Ontology Matching (2013)
ISBN: 9783642387210 bzw. 3642387217, in Englisch, Springer, Springer, Springer, neu, E-Book, elektronischer Download.
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, su.
Ontology Matching
ISBN: 9783540496120 bzw. 3540496122, in Deutsch, Springer Berlin, neu, E-Book, elektronischer Download.
Ontology Matching: 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 Shvaikos 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. Englisch, Ebook.
Ontology Matching (2007)
ISBN: 9783540496120 bzw. 3540496122, in Englisch, 333 Seiten, Springer Berlin Heidelberg, neu, Erstausgabe, E-Book, elektronischer Download.
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. Kindle Edition, الطبعة: 1, تنسيق: Kindle eBook, التسمية: Springer Berlin Heidelberg, Springer Berlin Heidelberg, مجموعة المنتجات: eBooks, ونشرت: 2007-06-15, تاريخ الإصدار: 2007-06-15, ستوديو: Springer Berlin Heidelberg, رتبة المبيعات: 2264994.
Ontology Matching (2007)
ISBN: 9783540496120 bzw. 3540496122, in Englisch, 333 Seiten, Springer Berlin Heidelberg, neu, Erstausgabe, E-Book, elektronischer Download.
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. Kindle Edition, Edizione: 1, Formato: Kindle eBook, Etichetta: Springer Berlin Heidelberg, Springer Berlin Heidelberg, Gruppo prodotti: eBooks, Pubblicato: 2007-06-15, Data di rilascio: 2007-06-15, Studio: Springer Berlin Heidelberg, Classifica vendite: 2264994.
Ontology Matching (2013)
ISBN: 9783642387210 bzw. 3642387217, in Deutsch, Springer, Berlin/Heidelberg/New York, NY, Deutschland, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Ontology Matching (2007)
ISBN: 9783540496120 bzw. 3540496122, in Deutsch, Springer, Berlin/Heidelberg, Deutschland, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Ontology Matching
ISBN: 9783642387210 bzw. 3642387217, in Englisch, Springer, Berlin/Heidelberg/New York, NY, Deutschland, neu, E-Book, elektronischer Download.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Ontology Matching als eBook von Jérôme Euzenat, Pavel Shvaiko, Jérôme Euzenat, Pavel Shvaiko (2013)
ISBN: 9783642387210 bzw. 3642387217, in Deutsch, Springer Berlin Heidelberg, neu.
Ontology Matching ab 60.99 EURO 2nd ed. 2013.