Computing Semantic Relatedness between Named Entities Using Wikipedia

Abstract

In this paper the authors suggest an novel approach that uses Wikipedia to measure the semantic relatedness between Chinese named entities, such as names of persons, books, softwares, etc. The relatedness is measured through articles in Wikipedia that are related to the named entities. The authors select a set of ''definition words'' which are hyperlinks from these articles, and then compute the relatedness between two named entities as the relatedness between two sets of definition words. The authors propose two ways to measure the relatedness between two definition words: by Wiki-articles related to the words or by categories of the words. Proposed approaches are compared with several other baseline models through experiments. The experimental results show that this method renders satisfactory results.