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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關(guān)鍵詞：Ontology matching Ching Match ATCH Ontology Matching first techniques available

本體匹配，好像有些費(fèi)勁看著

數(shù)據(jù)庫(kù)模式匹配和語(yǔ)義Web應(yīng)用程序的第一個(gè)國(guó)家的最先進(jìn)的技術(shù)概述
                                        總結(jié)研究，數(shù)據(jù)庫(kù)，信息系統(tǒng)，人工智能社區(qū)
                                        結(jié)合理論基礎(chǔ)與實(shí)際應(yīng)用前景
本體往往隨處可見(jiàn)。他們被視為銀彈對(duì)于許多應(yīng)用，如數(shù)據(jù)庫(kù)的集成，對(duì)等系統(tǒng)，電子商務(wù)，語(yǔ)義Web服務(wù)，或社交網(wǎng)絡(luò)。然而，在開(kāi)放或演變的系統(tǒng)，如語(yǔ)義網(wǎng)中，不同黨派，在一般情況，采用不同的本體。因此，僅僅使用本體一樣，使用XML ，不降低異質(zhì)性：它只是提高到一個(gè)更高的水平異質(zhì)性問(wèn)題。
Euzenat和Shvaiko本書(shū)是專門(mén)本體匹配語(yǔ)義異構(gòu)的計(jì)算機(jī)系統(tǒng)所面臨的問(wèn)題的解決方案。本體匹配的目的是在尋找不同的本體語(yǔ)義相關(guān)的實(shí)體之間的對(duì)應(yīng)關(guān)系。這些對(duì)應(yīng)關(guān)系可放置以及其他等價(jià)的關(guān)系，如因此，包含關(guān)系，或不相交，本體實(shí)體之間。許多不同的匹配解決方案迄今已提出了不同的觀點(diǎn)，例如，數(shù)據(jù)庫(kù)，信息系統(tǒng)，人工智能。
與本體的匹配，研究人員和從業(yè)者將發(fā)現(xiàn)的一本參考書(shū)，目前可用的工作在一個(gè)統(tǒng)一的框架。特別是，在這本書(shū)中提出的工作和技術(shù)同樣可以應(yīng)用于數(shù)據(jù)庫(kù)的模式匹配，目錄集成， XML模式匹配和其他相關(guān)問(wèn)題。這本書(shū)的目標(biāo)包括： （一）呈現(xiàn)先進(jìn)的，及（ii）提供匹配的技術(shù)和配套系統(tǒng)，有系統(tǒng)地從理論，實(shí)踐和應(yīng)用的角度詳細(xì)交代本體匹配的最新研究成果。