A Fuzzy Ontology-Based Semantic Data Integration System

被引：6

作者：

Yaguinuma, Cristiane A. ^{[1
]}

Afonso, Gustavo F. ^{[1
]}

Ferraz, Vinicius ^{[1
]}

Borges, Sergio ^{[1
]}

Santos, Marilde T. P. ^{[1
]}

机构：

[1] Univ Fed Sao Carlos, Dept Comp Sci, Rd Washington Luis,Km 235 POB 676, BR-13565 Sao Carlos, Brazil

来源：

JOURNAL OF INFORMATION & KNOWLEDGE MANAGEMENT | 2011年 / 10卷 / 03期

关键词：

Data Integration; fuzzy ontology; query expansion; semantic information processing;

D O I：

10.1142/S0219649211002997

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

Data integration becomes even more necessary given the increasing availability of data from distributed and heterogeneous sources. To address such heterogeneity, crisp ontologies have been employed in order to represent the semantics of integrated data. However, it is interesting to use fuzzy logic concepts in these ontologies for a more expressive representation of vague information relevant to some domains. In this context, this paper presents DISFOQuE system for data integration based on fuzzy ontology, which provides a homogeneous view of data sources and also performs query expansions in order to retrieve more comprehensive answers for the user. We have executed a real experiment in the domain of watershed analysis, which provided a homogeneous view of the watershed data sources and more effective answers to researchers.

引用

页码：285 / 299

页数：15

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