Research on Related Entity Identification Model and Incremental Verification Algorithm for Heterogeneous Networks: Research on Related Entity Identification Model and Incremental Verification Algorithm for Heterogeneous Networks
Yue Kou, Derong Shen, Heng Liu, Taiming Wang, Tiezheng Nie, Yu Ge
{"title":"Research on Related Entity Identification Model and Incremental Verification Algorithm for Heterogeneous Networks: Research on Related Entity Identification Model and Incremental Verification Algorithm for Heterogeneous Networks","authors":"Yue Kou, Derong Shen, Heng Liu, Taiming Wang, Tiezheng Nie, Yu Ge","doi":"10.3724/SP.J.1016.2013.02096","DOIUrl":null,"url":null,"abstract":"Related entity identification is a necessary technique to find and integrate the entities that are related tightly in heterogeneous networks.It is useful to make users understand the search result better.However,current techniques consider limited influence factors for related entity identification and lack verification which often lead to dumb results.In this paper,we present a two-phase related entity identification model by fully considering entity schema and entity feature.Also an incremental verification algorithm is proposed to iteratively verify and repair the result of identification.The experiments demonstrate the feasibility and effectiveness of our key techniques.","PeriodicalId":35776,"journal":{"name":"计算机学报","volume":"36 1","pages":"2096-2108"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"计算机学报","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.3724/SP.J.1016.2013.02096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 1
Abstract
Related entity identification is a necessary technique to find and integrate the entities that are related tightly in heterogeneous networks.It is useful to make users understand the search result better.However,current techniques consider limited influence factors for related entity identification and lack verification which often lead to dumb results.In this paper,we present a two-phase related entity identification model by fully considering entity schema and entity feature.Also an incremental verification algorithm is proposed to iteratively verify and repair the result of identification.The experiments demonstrate the feasibility and effectiveness of our key techniques.