Proceedings

Bootstrapping Domain Ontologies from Wikipedia: A Uniform Approach

Download BibTeX Cite

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 1464-1469.

Abstract

Building ontologies is a difficult task requiring skills in logics and ontological analysis. Domain experts usually reach as far as organizing a set of concepts into a hierarchy in which the semantics of the relations is under-specified. The categorization of Wikipedia is a huge concept hierarchy of this form, covering a broad range of areas. We propose an automatic method for bootstrapping domain ontologies from the categories of Wikipedia. The method first selects a subset of concepts that are relevant for a given domain. The relevant concepts are subsequently split into classes and individuals, and, finally, the relations between the concepts are classified into subclass_of, instance_of, part_of, and generic related_to. We evaluate our method by generating ontology skeletons for the domains of Computing and Music. The quality of the generated ontologies has been measured against manually built ground truth datasets of several hundred nodes.

Daniil Mirylenka, Andrea Passerini, and Luciano Serafini. 2015. Bootstrapping Domain Ontologies from Wikipedia: A Uniform Approach. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 1464–1469. https://ijcai.org/proceedings/2015/210
Welcome Future Conferences AI Journal Division IJCAI Proceedings About IJCAI IJCAI Awards