Paper Info
Title
Thesaurus Performance with Information Retrieval: Schema Matching as a Case Study
Abstract
Thesaurus is used with many Information Retrieval (IR) models such as data integration, data warehousing, semantic query processing and classifiers. Considering the existence of various thesauri for a particular domain of knowledge, output quality of an IR model when using different thesauri in the same domain is not predictable. In this paper, we propose a methodology to study the performance of thesaurus in solving schema matching as a case study of IR models. The paper also presents initial results of experiment conducted using different thesauri. Precision, recall, and F-measure were calculated to show that the quality of matching was changed according to the used thesaurus.
Year
DOI
Venue
2013
10.1109/SMC.2013.764
Systems, Man, and Cybernetics
Keywords
Field
DocType
ir model,output quality,used thesaurus,data warehousing,schema matching,case study,various thesaurus,information retrieval,different thesaurus,particular domain,data integration,thesaurus performance,data warehouses
Data integration,Data warehouse,Query expansion,Information retrieval,Computer science,Semantic query,Schema matching,Recall
Conference
ISSN
Citations 
PageRank 
1062-922X
0
0.34
References 
Authors
9
2
Name
Order
Citations
PageRank
Thabit Sabbah1343.53
Ali Selamat271777.40