An effective similarity propagation method for matching ontologies without sufficient or regular linguistic information

Peng Wang, Baowen Xu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Most existing ontology matching methods are based on the linguistic information. However, some ontologies have not sufficient or regular linguistic information such as natural words and comments, so the linguistic-based methods can not work. Structure-based methods are more practical for this situation. Similarity propagation is a feasible idea to realize the structure-based matching. But traditional propagation does not take into consideration the ontology features and will be faced with effectiveness and performance problems. This paper analyzes the classical similarity propagation algorithm Similarity Flood and proposes a new structure-based ontology matching method. This method has two features: (1) It has more strict but reasonable propagation conditions which make matching process become more efficient and alignments become better. (2) A series of propagation strategies are used to improve the matching quality. Our method has been implemented in ontology matching system Lily. Experimental results demonstrate that this method performs well on the OAEI benchmark dataset.

Original languageEnglish
Title of host publicationThe Semantic Web - Fourth Asian Conference, ASWC 2009, Proceedings
Pages105-119
Number of pages15
DOIs
StatePublished - 2009
Externally publishedYes
Event4th Asian Conference on the Semantic Web, ASWC 2009 - Shanghai, China
Duration: 6 Dec 20099 Dec 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5926 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th Asian Conference on the Semantic Web, ASWC 2009
Country/TerritoryChina
CityShanghai
Period6/12/099/12/09

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