Gaoying Cui

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Gaoying Cui is an author.

Publications

Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Automatic acquisition of attributes for ontology construction Attribute acquisition
Ontology construction
Wikipedia as resource source
Lecture Notes in Computer Science English 2009 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 Template: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. 0 0
Corpus Exploitation from Wikipedia for Ontology Construction English 2009 0 0
Mining Concepts from Wikipedia for Ontology Construction WI-IAT English 2009 An ontology is a structured knowledgebase of concepts organized by relations among them. But concepts are usually mixed with their instances in the corpora for knowledge extraction. Concepts and their corresponding instances share similar features and are difficult to distinguish. In this paper, a novel approach is proposed to comprehensively obtain concepts with the help of definition sentences and Category Labels in Wikipedia pages. N-gram statistics and other NLP knowledge are used to help extracting appropriate concepts. The proposed method identified nearly 50,000 concepts from about 700,000 Wiki pages. The precision reaching 78.5% makes it an effective approach to mine concepts from Wikipedia for ontology construction. 0 0
Mining concepts from Wikipedia for ontology construction Concept
Ontology construction
Wikipedia
Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009 English 2009 An ontology is a structured knowledgebase of concepts organized by relations among them. But concepts are usually mixed with their instances in the corpora for knowledge extraction. Concepts and their corresponding instances share similar features and are difficult to distinguish. In this paper, a novel approach is proposed to comprehensively obtain concepts with the help of definition sentences and Category Labels in Wikipedia pages. N-gram statistics and other NLP knowledge are used to help extracting appropriate concepts. The proposed method identified nearly 50,000 concepts from about 700,000 Wiki pages. The precision reaching 78.5% makes it an effective approach to mine concepts from Wikipedia for ontology construction. 0 0