DocumentCode :
556333
Title :
A Study of Category Expansion for Related Entity Finding
Author :
Zhang, Junsan ; Qu, Youli
Author_Institution :
Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
Volume :
1
fYear :
2011
fDate :
28-30 Oct. 2011
Firstpage :
185
Lastpage :
188
Abstract :
Entity is an important information carrier in Web pages. Searchers often want a ranked list of relevant entities directly rather a list of documents. So the research of related entity finding (REF) is very meaningful. In this paper we investigate the most important task of REF: Entity Ranking. To address the issue of wrong entity type in entity ranking: some retrieved entities don´t belong to the target entity type. We make use of category expansion to deal with the issue of wrong entity type polluting entity ranking. We use Wikipedia and Dbpedia as data sources in the experiment. We found category expansion based on original type achieves a better result in recall and precision proved by experiment.
Keywords :
Internet; Web sites; encyclopaedias; information retrieval; Dbpedia; Web pages; Wikipedia; category expansion; entity ranking; information carrier; related entity finding; Educational institutions; Electronic publishing; Encyclopedias; Filtering; Internet; Maximum likelihood estimation; entity; entity ranking; related entity finding; type filtering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2011 Fourth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4577-1085-8
Type :
conf
DOI :
10.1109/ISCID.2011.55
Filename :
6079667
Link To Document :
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