Paper Info
Title
Demand-driven knowledge acquisition method for enhancing domain ontology integrity
Abstract
Knowledge, as the most important resource for the knowledge economy in the 21st century, is fundamental to enterprise competitive strength. Therefore, how to effectively integrate internal and external knowledge and provide correct knowledge to the right users in a timely fashion have become key success factors in business operation. This study attempts to develop a demand-driven knowledge acquisition method to enhance the integrity of domain ontology. Based on the demand of the user request, the developed method can dynamically discover the insufficient knowledge concepts in the domain ontology, acquire such knowledge concepts from knowledge documents available on the Internet, and integrate the acquired knowledge concepts into the domain ontology to make it more correct and complete, thus enhancing its reuse value. This objective can be achieved by performing the following tasks: (i) design of a demand-driven knowledge acquisition process to enhance domain ontology integrity, (ii) development of techniques related to demand-driven knowledge acquisition to enhance domain ontology integrity, and (iii) implementation of a demand-driven knowledge acquisition mechanism to enhance domain ontology integrity. Developing techniques associated with demand-driven knowledge acquisition involves demand preprocessing, knowledge retrieval and searching, ontology construction, and ontology integration.
Year
DOI
Venue
2014
10.1016/j.compind.2014.05.003
Computers in Industry
Keywords
DocType
Volume
domain ontology,knowledge acquisition,knowledge integration
Journal
65
Issue
ISSN
Citations 
7
0166-3615
1
PageRank 
References 
Authors
0.43
31
2
Name
Order
Citations
PageRank
Yuh-Jen Chen119716.47
Yuh-Min Chen237932.12