{"title":"The Egloo Fuzzy Web Data Source Selection Tool","authors":"Marlene Goncalves, Leonid José Tineo Rodríguez","doi":"10.1109/DEXA.2007.154","DOIUrl":null,"url":null,"abstract":"The WWW is a very large repository composed of many documents that are stored by several data sources. Web search engines allow retrieval based on keywords. Nevertheless, published documents may be incomplete, obsolete or huge. Therefore, search also might include quality criteria such as completeness, recentness, update frequency, and granularity. Traditional DBMS rigidity does not allow the expression of user preferences based on soft criteria. Fuzzy DBMS, such as SQLfi, are necessary instead. Here we present a tool for the selection of the best data sources and documents in terms of user preferences. Documents and data sources would be described according to quality parameters stored in a catalog. Retrieval would be done by means of fuzzy SQLf queries. Our tool offers a user-oriented wizard to allow the expression of requirements.","PeriodicalId":314834,"journal":{"name":"18th International Workshop on Database and Expert Systems Applications (DEXA 2007)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"18th International Workshop on Database and Expert Systems Applications (DEXA 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEXA.2007.154","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The WWW is a very large repository composed of many documents that are stored by several data sources. Web search engines allow retrieval based on keywords. Nevertheless, published documents may be incomplete, obsolete or huge. Therefore, search also might include quality criteria such as completeness, recentness, update frequency, and granularity. Traditional DBMS rigidity does not allow the expression of user preferences based on soft criteria. Fuzzy DBMS, such as SQLfi, are necessary instead. Here we present a tool for the selection of the best data sources and documents in terms of user preferences. Documents and data sources would be described according to quality parameters stored in a catalog. Retrieval would be done by means of fuzzy SQLf queries. Our tool offers a user-oriented wizard to allow the expression of requirements.
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