Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/70101
Title: Automatic acquisition of attributes for ontology construction
Authors: Cui, G
Lu, Q 
Li, W 
Chen, Y
Keywords: Attribute acquisition
ontology construction
Wikipedia as resource source
Issue Date: 2009
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2009, v. 5459, p. 248-259 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
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.
Description: 22nd International Conference on the Computer Processing of Oriental Languages (ICCPOL2009), Hong Kong, 26-27 March, 2009, Hong Kong
URI: http://hdl.handle.net/10397/70101
ISBN: 978-3-642-00830-6
978-3-642-00831-3
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-642-00831-3_23
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