Paper Info
Title
Adapting domain ontology for personalized knowledge search and recommendation
Abstract
This paper presents research on the development of a domain ontology adaptation system for personalized knowledge search and recommendation that adapts a suitable domain ontology according to the previous browsing and reading behavior of users (i.e., usage history log). An adaptive domain ontology can satisfy the future requirements of users and promote use value. In developing the system, a domain ontology adaptation model is first designed. Based on the designed adaptation model, a methodology for domain ontology adaptation is developed. Subsequently, a domain ontology adaptation system is implemented with an illustrative example of securities trading. Finally, a system evaluation for user satisfaction and a methodology evaluation are conducted to demonstrate that the developed methodology and system worked efficiently. The results of this research facilitate personalized knowledge search and recommendation. They also promote the accuracy of domain ontology to satisfy the domain knowledge requirements of users, consequently boosting the use value of domain ontology.
Year
DOI
Venue
2013
10.1016/j.im.2013.05.001
Information & Management
Keywords
Field
DocType
domain knowledge requirement,domain ontology,adapting domain ontology,adaptive domain ontology,use value,suitable domain ontology,domain ontology adaptation,system evaluation,domain ontology adaptation model,domain ontology adaptation system,personalized knowledge search,adaptation model,knowledge management,ontology,personalization
Ontology (information science),Ontology-based data integration,Ontology alignment,Process ontology,Domain knowledge,Computer science,Knowledge management,OWL-S,Suggested Upper Merged Ontology,Upper ontology
Journal
Volume
Issue
ISSN
50
6
0378-7206
Citations 
PageRank 
References 
11
0.69
40
Authors
4
Name
Order
Citations
PageRank
Yuh-Jen Chen119716.47
Hui-Chuan Chu220615.90
Yuh-Min Chen337932.12
Chung-Yueh Chao4110.69