A Study of Category Expansion for Related Entity Finding

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.