Ontology Matching

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2007
Ontology MatchingAuthors:

• Jérôme Euzenat,
• Pavel Shvaiko
• …show all 2hide
  

ISBN: 978-3-540-49611-3 (Print) 978-3-540-49612-0  (Online)



Ontology MatchingEuzenat, Jérôme, Shvaiko, Pavel

2007, IX, 333 p.



ISBN 978-3-540-49612-0

  Immediately available per PDF-download (no DRM, watermarked)

About this book

• The first state-of-the-art overview of techniques for database schema matching and semantic web applications
•                                         Summarizes research from the database, information systems, and artificial intelligence communities
•                                         Combines theoretical foundations with practical application perspectives
  

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.

• Authors & Editors
  

Jérôme Euzenat is senior research scientist at INRIA where he leads the Exmo team dedicated to computer-mediated exchanges of structured knowledge. He is supervising the "Heterogeneity" work package of the Knowledge web network of excellence which aims at structuring the European research community in ontology alignment and merging.
Pavel Shvaiko is a postdoc fellow at the Department of Information and Communication Technology (DIT) of the University of Trento (UniTn), Trento, Italy. In 2006, he finished his PhD on "Iterative Schema-based Semantic Matching". Currently, he works in a European research project on matching multiple schemas, classifications, ontologies as a solution to the semantic heterogeneity problem.


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关键词：Ontology matching Ching Match ATCH Ontology Matching first techniques available

本体匹配，好像有些费劲看着

数据库模式匹配和语义Web应用程序的第一个国家的最先进的技术概述
                                        总结研究，数据库，信息系统，人工智能社区
                                        结合理论基础与实际应用前景
本体往往随处可见。他们被视为银弹对于许多应用，如数据库的集成，对等系统，电子商务，语义Web服务，或社交网络。然而，在开放或演变的系统，如语义网中，不同党派，在一般情况，采用不同的本体。因此，仅仅使用本体一样，使用XML ，不降低异质性：它只是提高到一个更高的水平异质性问题。
Euzenat和Shvaiko本书是专门本体匹配语义异构的计算机系统所面临的问题的解决方案。本体匹配的目的是在寻找不同的本体语义相关的实体之间的对应关系。这些对应关系可放置以及其他等价的关系，如因此，包含关系，或不相交，本体实体之间。许多不同的匹配解决方案迄今已提出了不同的观点，例如，数据库，信息系统，人工智能。
与本体的匹配，研究人员和从业者将发现的一本参考书，目前可用的工作在一个统一的框架。特别是，在这本书中提出的工作和技术同样可以应用于数据库的模式匹配，目录集成， XML模式匹配和其他相关问题。这本书的目标包括： （一）呈现先进的，及（ii）提供匹配的技术和配套系统，有系统地从理论，实践和应用的角度详细交代本体匹配的最新研究成果。