Natural language processing based ontology learning
Chengxiang Yuan, Yi Zhuang, Xiaojun Li · 2010
Though the utility of domain Ontologies is now widely acknowledged in an increasing number of domains, a critical task of identifying, defining, and entering the concept definitions is still intractable. Nowadays, natural language becomes a more and more important information source, and natural language processing (NLP) becomes more and more practical. To reduce time, cost and making use of NLP, it is highly advisable to refer, in constructing or updating an ontology, to the documents available in the field. In this paper we describe NLTPOnto, a natural language processing based tool is devised to help people to semi-automatically construct ontology.