Automatic Acquisition of Attributes for Ontology Construction

Authors:
Gaoying Cui;Qin Lu;Wenjie Li;Yirong Chen
Affiliations:
Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China;Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China;Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China;Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China
Venue:
ICCPOL '09 Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
Year:
2009

Citing 5
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Abstract

An ontology can be seen as an organized structure of concepts according to their relations. A concept is associated with a set of attributes that themselves are also concepts in the ontology. Consequently, ontology construction is the acquisition of concepts and their associated attributes through relations. Manual ontology construction is time-consuming and difficult to maintain. Corpus-based ontology construction methods must be able to distinguish concepts themselves from concept instances. In this paper, a novel and simple method is proposed for automatically identifying concept attributes through the use of Wikipedia as the corpus. The built-in {{Infobox}} in Wiki is used to acquire concept attributes and identify semantic types of the attributes. Two simple induction rules are applied to improve the performance. Experimental results show precisions of 92.5% for attribute acquisition and 80% for attribute type identification. This is a very promising result for automatic ontology construction.