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- W2009969286 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." @default.
- W2009969286 created "2016-06-24" @default.
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- W2009969286 date "2013-10-01" @default.
- W2009969286 modified "2023-09-24" @default.
- W2009969286 title "Thesaurus Performance with Information Retrieval: Schema Matching as a Case Study" @default.
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- W2009969286 doi "https://doi.org/10.1109/smc.2013.764" @default.
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