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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 g...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2007.
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| Edición: | 1st ed. 2007. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-3-540-49612-0 | ||
| 003 | DE-He213 | ||
| 005 | 20220116132013.0 | ||
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| 008 | 100301s2007 gw | s |||| 0|eng d | ||
| 020 | |a 9783540496120 |9 978-3-540-49612-0 | ||
| 024 | 7 | |a 10.1007/978-3-540-49612-0 |2 doi | |
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| 100 | 1 | |a Euzenat, Jérôme. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Ontology Matching |h [electronic resource] / |c by Jérôme Euzenat, Pavel Shvaiko. |
| 250 | |a 1st ed. 2007. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2007. | |
| 300 | |a IX, 333 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a The matching problem -- Applications -- The matching problem -- Ontology matching techniques -- Classifications of ontology matching techniques -- Basic techniques -- Matching strategies -- Systems and evaluation -- Overview of matching systems -- Evaluation of matching systems -- Representing, explaining, and processing alignments -- Frameworks and formats: representing alignments -- Explaining alignments -- Processing alignments -- Conclusions -- Conclusions. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Computer programming. | |
| 650 | 0 | |a Information storage and retrieval systems. | |
| 650 | 0 | |a Application software. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Business information services. | |
| 650 | 0 | |a Electronic commerce. | |
| 650 | 1 | 4 | |a Programming Techniques. |
| 650 | 2 | 4 | |a Information Storage and Retrieval. |
| 650 | 2 | 4 | |a Computer and Information Systems Applications. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a IT in Business. |
| 650 | 2 | 4 | |a e-Commerce and e-Business. |
| 700 | 1 | |a Shvaiko, Pavel. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642080555 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540833253 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540496113 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-540-49612-0 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||