Fuzzy Data Mining for the Semantic Web: Building XML Mediator Schemas

作者: A. Laurent , M. Teisseire , P. Poncelet

DOI: 10.1016/S1574-9576(06)80014-6

关键词: Semi-structured dataXMLFuzzy logicSemantic WebFuzzy data miningInformation retrievalSchema (psychology)Computer scienceWorld Wide Web

摘要: As highlighted by the World Wide Web Consortium, XML has been proposed to deal with huge volumes of electronic documents and is playing an increasing important role in exchange a wide variety data on Web. However, when dealing such large heterogeneous sources, it necessary have idea way these sources are structured. This information indeed essential order build mediator schemas. These schemas required query uniform way. Moreover, this interesting since provides users semantic structure they can query. Recently schema mining approaches extract efficient commonly occurring from collection. Nevertheless, according point view, suffer different drawbacks. In work, we propose thus fuzzy approach, showing why how fuzziness useful frequent approximate

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