Local semantic context analysis for automatic ontology matching

被引：0

作者：

Fenza, Giuseppe ^{[1
]}

Loia, Vincenzo ^{[1
]}

Senatore, Sabrina ^{[1
]}

机构：

[1] Univ Salerno, Dipartimento Matemat & Informat, I-84084 Fisciano, SA, Italy

来源：

PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE | 2009年

关键词：

Semantic Web; concept matching; ontology mapping; WordNet; concept similarity;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes an algorithm for concept matching, applied in the ontology mapping domain. Basic idea is to seek the effective semantics embedded in the concept name by analyzing the context in which it appears. Through simple interactions with the known lexicon WordNet, the right meaning associated to a concept is unequivocally elicited by exploring their local semantic context, viz. the surrounding concepts. This approach reveals interesting results for the word sense disambiguation, when polysemy problems requires a semantic interpretation.

引用

页码：1315 / 1320

页数：6

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