{"title":"Research on Semantic Business Platform for Electric Power System","authors":"Sheng Jia-gen, Liu Sifeng","doi":"10.1109/CCCM.2008.357","DOIUrl":null,"url":null,"abstract":"For electric power business decision, the open Web is an important resource of knowledge. Unfortunately, traditional methods of knowledge acquiring, representing and organizing can not satisfy the requirements of semantic to support intelligent decision. Arming to these, a semantic platform oriented business intelligence named SP4BI is proposed by this paper, then two key technologies, model of Web knowledge representation and automatic algorithm of ontology acquiring, are illustrated. Knowledge on the Web are time-related and context-related, these properties are all be considered in representation model of Web knowledge. Meanwhile, the experiments of automatic acquiring electric power ontology show the validity of extracting properties and relations of concepts. Compared with existing methods, SP4BI platform provides a semantic supporting, and is a fundamental of machine reading and automatic reasoning.","PeriodicalId":326534,"journal":{"name":"2008 ISECS International Colloquium on Computing, Communication, Control, and Management","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 ISECS International Colloquium on Computing, Communication, Control, and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCCM.2008.357","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
For electric power business decision, the open Web is an important resource of knowledge. Unfortunately, traditional methods of knowledge acquiring, representing and organizing can not satisfy the requirements of semantic to support intelligent decision. Arming to these, a semantic platform oriented business intelligence named SP4BI is proposed by this paper, then two key technologies, model of Web knowledge representation and automatic algorithm of ontology acquiring, are illustrated. Knowledge on the Web are time-related and context-related, these properties are all be considered in representation model of Web knowledge. Meanwhile, the experiments of automatic acquiring electric power ontology show the validity of extracting properties and relations of concepts. Compared with existing methods, SP4BI platform provides a semantic supporting, and is a fundamental of machine reading and automatic reasoning.