Large-scale Interactive Ontology Matching: Algorithms and Implementation

被引：52

作者：

Jimenez-Ruiz, Ernesto ^{[1
]}

Grau, Bernardo Cuenca ^{[1
]}

Zhou, Yujiao ^{[1
]}

Horrocks, Ian ^{[1
]}

机构：

[1] Univ Oxford, Dept Comp Sci, Oxford OX1 2JD, England

来源：

20TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (ECAI 2012) | 2012年 / 242卷

基金：

英国工程与自然科学研究理事会;

关键词：

D O I：

10.3233/978-1-61499-098-7-444

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we present the ontology matching system LogMap 2, a much improved version of its predecessor LogMap. LogMap 2 supports user interaction during the matching process, which is essential for use cases requiring very accurate mappings. Interactivity, however, imposes very strict scalability requirements; we are able to satisfy these requirements by providing real-time user response even for large-scale ontologies. Finally, LogMap 2 implements scalable reasoning and diagnosis algorithms, which minimise any logical inconsistencies introduced by the matching process.

引用

页码：444 / 449

页数：6

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