期刊名称：International Journal of Artificial Intelligence and Expert Systems (IJAE)
电子版ISSN：2180-124X
出版年度：2015
卷号：6
期号：2
页码：15-26
出版社：Computer Science Journals
摘要：Ontology is one of the most popular representation model used for knowledge representation, sharing and reusing. In light of the importance of ontology, different methodologies for building ontologies have been proposed. Ontology construction is a difficult and time-consuming process. Many efforts have been made to help ontology engineers to construct ontologies and to overcome the bottleneck of knowledge acquisition. The aim of this paper is to give a brief overview of ontology learning approaches and to review some of ontology extraction systems and tools followed by a summarizing comparison of them. Also some of the current issues and main trends of ontology construction from texts will be discussed.
