Ontology Population from Unstructured and Semi-structured Texts

Abstract

Legacy information search systems have limitation that it does not consider semantic information but just lexical information such as keywords. A semantic web is expected to solve such limitation of present systems. In constructing semantic web, an ontology is believed to be a must. However, the ontology construction is very difficult. It requires great human efforts, since the creation of individuals is a time consuming task. Thus, there is a potential need for automatic or semiautomatic ontology population system, which greatly alleviates the human efforts. This paper proposes a method for an ontology population, in which the population is processed by computing the overlap between instances and concepts. This method is very simple but shows high performance.