Enriching Ontologies for Named Entity Disambiguation

Detecting entity mentions in a text and then mapping them to their right entities in a given knowledge source is significant to realization of the semantic web, as well as advanced development of natural language processing applications. The knowledge sources used are often close ontologies built by small groups of experts and Wikipedia. To date, state-of-the-art methods proposed for named entity disambiguation mainly use Wikipedia as such a knowledge source. This paper proposes a method that enriches a close ontology by Wikipedia and then disambiguates named entities in a text based on that enriched one. The method disambiguates named entities in a text iteratively and incrementally, including several iterative steps. Those named entities that are identified in each iterative step will be used to disambiguate the remaining ones in the next iterative steps. The experiment results show that enrichment of a close ontology noticeably improves disambiguation performance. Keywordsentity disambiguation; ontology enrichment; annotation; named entity; ontology