A Study of Category Expansion for Related Entity Finding

摘要：

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 dont 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.

关键词： related entity finding entity entity ranking type filtering

作者: Junsan Zhang Youli Qu

作者单位: School of Computer and Information Technology Beijing Jiaotong University Beijing, China

会议类型: 国际会议

会议名称: 2011 Fourth International Symposium on Computational Interlligence and Design 第四届计算智能与设计国际会议 ISCID 2011

会议地点: 杭州

会议语种:英文

页码: 185-188

在线出版日期: 2011-10-28（万方平台首次上网日期，不代表论文的发表时间）