{"title":"基于XML元素和关联的模糊查询","authors":"Ruixia Li, Shoubao Su","doi":"10.1109/ICCIS.2012.161","DOIUrl":null,"url":null,"abstract":"A new approach based on XML element and correlation was proposed to reflect users' fuzzy query intention. Based on the fuzzy sets theory, a fuzzy extension of XPath query expression was proposed, which can be expressed exploiting fuzzy predicates. Then fuzzy query relaxations were provided to get more querying results, which satisfy users' query requests. The proposed scoring method uses an extended vector space model, which considers the element correlation and inverse element frequency, when ranking these query results. According to the matching results, the elements whose scores are greater than the threshold are query results. Finally, the efficiency of the approach is demonstrated by experimental results.","PeriodicalId":269967,"journal":{"name":"2012 Fourth International Conference on Computational and Information Sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Fuzzy Query Based on XML Element and Correlation\",\"authors\":\"Ruixia Li, Shoubao Su\",\"doi\":\"10.1109/ICCIS.2012.161\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new approach based on XML element and correlation was proposed to reflect users' fuzzy query intention. Based on the fuzzy sets theory, a fuzzy extension of XPath query expression was proposed, which can be expressed exploiting fuzzy predicates. Then fuzzy query relaxations were provided to get more querying results, which satisfy users' query requests. The proposed scoring method uses an extended vector space model, which considers the element correlation and inverse element frequency, when ranking these query results. According to the matching results, the elements whose scores are greater than the threshold are query results. Finally, the efficiency of the approach is demonstrated by experimental results.\",\"PeriodicalId\":269967,\"journal\":{\"name\":\"2012 Fourth International Conference on Computational and Information Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fourth International Conference on Computational and Information Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIS.2012.161\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Computational and Information Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIS.2012.161","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new approach based on XML element and correlation was proposed to reflect users' fuzzy query intention. Based on the fuzzy sets theory, a fuzzy extension of XPath query expression was proposed, which can be expressed exploiting fuzzy predicates. Then fuzzy query relaxations were provided to get more querying results, which satisfy users' query requests. The proposed scoring method uses an extended vector space model, which considers the element correlation and inverse element frequency, when ranking these query results. According to the matching results, the elements whose scores are greater than the threshold are query results. Finally, the efficiency of the approach is demonstrated by experimental results.
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