期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：3
DOI：10.15680/ijircce.2015.0303109
出版社：S&S Publications
摘要：Identify relation completion (RC) as one recurring problem that is central to the success of novel big dataapplications such as Entity Reconstruction and Data Enrichment. Given a semantic relation R, RC attempts at linkingentity pairs between two entity lists under the relation R. To accomplish the RC goals, propose to formulate searchqueries for each query entity a based on some auxiliary information, so that to detect its target entity b from the set ofretrieved documents. For instance, a pattern-based method (PaRE) uses extracted patterns as the auxiliary informationin formulating search queries. However, high-quality patterns may decrease the probability of finding suitable targetentities. As an alternative, propose CoRE method that uses context terms learned surrounding the expression of arelation as the auxiliary information in formulating queries. The experimental results based on several real-world webdata collections demonstrate that CoRE reaches a much higher accuracy than PaRE for the purpose of RC.
