Enriching Ontologies for Named Entity Disambiguation
Hien Phuong Nhat Nguyen, Tru Hoang Cao · 2010
Abstract — Detecting entity mentions in a text and then map-ping them to their right entities in a given knowledge source is significant to realization of the semantic web, as well as ad-vanced development of natural language processing applica-tions. 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 disambig-uation 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 sever-al 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 dis-ambiguation performance. Keywords- entity disambiguation; ontology enrichment; annotation; named entity; ontology I.