Adapting domain ontology for personalized knowledge search and recommendation

Yuh Jen Chen, Hui Chuan Chu, Yuh Min Chen, Chung Yueh Chao

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)285-303
Number of pages19
JournalInformation and Management
Issue number6
Publication statusPublished - 2013

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Information Systems
  • Information Systems and Management


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