عنوان

Ontology matching /

(Number (ISBN

1280937572

(Number (ISBN

3540496114

(Number (ISBN

3540496122

(Number (ISBN

6610937575

(Number (ISBN

9781280937576

(Number (ISBN

9783540496113

(Number (ISBN

9783540496120

(Number (ISBN

9786610937578

Number

b766159

Title Proper

Ontology matching /

General Material Designation

[Book]

First Statement of Responsibility

Jérôme Euzenat, Pavel Shvaiko.

Place of Publication, Distribution, etc.

New York :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

©2007.

Specific Material Designation and Extent of Item

1 online resource (ix, 333 pages) :

Other Physical Details

illustrations

Text of Note

Includes bibliographical references (pages 297-321) and index.

Text of Note

Cover -- Contents -- Introduction -- Part I: The matching problem -- CH. 1 Applications -- 1.1 Ontology engineering -- 1.2 Information integration -- 1.3 Peer-to-peer information sharing -- 1.4 Web service composition -- 1.5 Autonomous communication systems -- 1.6 Navigation and query answering on the web -- 1.7 Summary -- CH. 2 The matching problem -- 2.1 Vocabularies, schemas and ontologies -- 2.2 Ontology language -- 2.3 Types of heterogeneity -- 2.4 Terminology -- 2.5 The ontology matching problem -- 2.6 Summary -- Part II: Ontology matching techniques -- CH. 3 Classifications of ontology matching techniques -- 3.1 Matching dimensions -- 3.2 Classification of matching approaches -- 3.3 Other classifications -- 3.4 Summary -- CH. 4 Basic techniques -- 4.1 Similarity, distances and other measures -- 4.2 Name-based techniques -- 4.3 Structure-based techniques -- 4.4 Extensional techniques -- 4.5 Semantic-based techniques -- 4.6 Summary -- CH. 5 Matching strategies -- 5.1 Matcher composition -- 5.2 Similarity aggregation -- 5.3 Global similarity computation -- 5.4 Learning methods -- 5.5 Probabilistic methods -- 5.6 User involvement and dynamic composition -- 5.7 Alignment extraction -- 5.8 Summary -- Part III: Systems and evaluation -- CH. 6 Overview of matching systems -- 6.1 Schema-based systems -- 6.2 Instance-based systems -- 6.3 Mixed, schema-based and instance-based systems -- 6.4 Meta-matching systems -- 6.5 Summary -- CH. 7 Evaluation of matching systems -- 7.1 Evaluation principles -- 7.2 Data sets for evaluation -- 7.3 Evaluation measures -- 7.4 Application-specific evaluation -- 7.5 Summary -- Part IV: Representing, explaining, and processing alignments -- CH. 8 Frameworks and formats: representing alignments -- 8.1 Alignment formats -- 8.2 Alignment frameworks -- 8.3 Ontology editors with alignment manipulation capabilities -- 8.4 Summary -- CH. 9 Explaining alignments -- 9.1 Justifications -- 9.2 Explanation approaches -- 9.3 A default explanation -- 9.4 Explaining basic matchers -- 9.5 Explaining the matching process -- 9.6 Arguing about correspondences -- 9.7 Summary -- CH. 10 Processing alignments -- 10.1 Ontology merging -- 10.2 Ontology transformation -- 10.3 Data translation -- 10.4 Mediation -- 10.5 Reasoning -- 10.6 Towards an alignment service -- 10.7 Summary -- Part V: Conclusions -- CH. 11 Conclusions -- 11.1 A brief outlook of the trends in the field -- 11.2 Future challenges -- 11.3 Final words -- Appendix A: Legends of figures -- Appendix B: Running example -- Appendix C: Exercises -- References -- IDX. Index -- Last Page.

0

Text of Note

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 the state of the art and 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.

Source for Acquisition/Subscription Address

Springer

Stock Number

978-3-540-49611-3

Title

Ontology matching.

International Standard Book Number

3540496114

Title

Springer e-books

Ontologies (Information retrieval)

Semantic integration (Computer systems)

COMPUTERS-- Online Services.

COMPUTERS-- System Administration-- Storage & Retrieval.

Informatique.

Ontologies (Information retrieval)

Ontologies (Information retrieval)

Semantic integration (Computer systems)

Semantic integration (Computer systems)

COM-- 030000

COM-- 069010

QA

UVG

Number

Edition

Class number

Book number

Class number

System Code

Euzenat, Jérôme.

Date of Transaction

20201206113246.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y