Xiangfeng Luo, Ning Fang, Zhe Yang, Huizhe Xiao, Weimin Xu
{"title":"Scientific Text Topics Discovery for e-science Semantic Grid Environment","authors":"Xiangfeng Luo, Ning Fang, Zhe Yang, Huizhe Xiao, Weimin Xu","doi":"10.1109/GCC.2006.84","DOIUrl":null,"url":null,"abstract":"The characteristics of scientific text topics discovery in e-science semantic grid environment is given firstly, and then a novel method about scientific text topics discovery is proposed. Thirdly the mean function of distances between topics to evaluate the scientific text topics discovery process is also presented. Finally, we adopt the texts of GCC2003 to prove that the proposed method has the ability in composition and decomposition as well as higher semantics; therefore the proposed method can provide researchers with more accurate knowledge services in e-science semantic grid environment and has bright future","PeriodicalId":280249,"journal":{"name":"2006 Fifth International Conference on Grid and Cooperative Computing (GCC'06)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 Fifth International Conference on Grid and Cooperative Computing (GCC'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCC.2006.84","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The characteristics of scientific text topics discovery in e-science semantic grid environment is given firstly, and then a novel method about scientific text topics discovery is proposed. Thirdly the mean function of distances between topics to evaluate the scientific text topics discovery process is also presented. Finally, we adopt the texts of GCC2003 to prove that the proposed method has the ability in composition and decomposition as well as higher semantics; therefore the proposed method can provide researchers with more accurate knowledge services in e-science semantic grid environment and has bright future
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