{"title":"发现Web上的实体关系","authors":"Wei Yu, Junpeng Chen, Guoying Yu","doi":"10.1109/ICSC.2008.16","DOIUrl":null,"url":null,"abstract":"Mining entities relationships on the Web is a crucial problem for many data analysis work. We propose a new method to discover the relationships between two entities on the Web and designed an entities relationships miner prototype ERM, where the relationships can be mined in different granularities and the related Web pages containing the connections between two entities are returned in ranked order. Our experimental results show that ERM provides an efficient yet effective way for the user to discover the entities relationships on the Web.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Discovering Entities Relationships on the Web\",\"authors\":\"Wei Yu, Junpeng Chen, Guoying Yu\",\"doi\":\"10.1109/ICSC.2008.16\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mining entities relationships on the Web is a crucial problem for many data analysis work. We propose a new method to discover the relationships between two entities on the Web and designed an entities relationships miner prototype ERM, where the relationships can be mined in different granularities and the related Web pages containing the connections between two entities are returned in ranked order. Our experimental results show that ERM provides an efficient yet effective way for the user to discover the entities relationships on the Web.\",\"PeriodicalId\":102805,\"journal\":{\"name\":\"2008 IEEE International Conference on Semantic Computing\",\"volume\":\"106 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Conference on Semantic Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSC.2008.16\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Conference on Semantic Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSC.2008.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mining entities relationships on the Web is a crucial problem for many data analysis work. We propose a new method to discover the relationships between two entities on the Web and designed an entities relationships miner prototype ERM, where the relationships can be mined in different granularities and the related Web pages containing the connections between two entities are returned in ranked order. Our experimental results show that ERM provides an efficient yet effective way for the user to discover the entities relationships on the Web.
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