TY - JOUR
T1 - Adapting domain ontology for personalized knowledge search and recommendation
AU - Chen, Yuh Jen
AU - Chu, Hui Chuan
AU - Chen, Yuh Min
AU - Chao, Chung Yueh
N1 - Funding Information:
The authors would like to thank the National Science Council of the Republic of China, Taiwan , for financially supporting this research under Contract No. NSC99-2221-E-327-036 . The authors are grateful for the anonymous reviewers who made constructive comments.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
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U2 - 10.1016/j.im.2013.05.001
DO - 10.1016/j.im.2013.05.001
M3 - Article
AN - SCOPUS:84879204212
VL - 50
SP - 285
EP - 303
JO - Information and Management
JF - Information and Management
SN - 0378-7206
IS - 6
ER -