趙中岳

With the rapid development of knowledge economy, the competitiveness of enterprises relies heavily on innovation and application of knowledge. Therefore, effective management of knowledge has become one of the critical factors of enterprises, which is further dependent on the successful building, application and maintenance of ontology due to its feasibility for domain knowledge representation.

The objective of this thesis is to develop an ontology adaptation mechanism for personalized knowledge search and recommendation. According to user requirements and usage history log, a personalized ontology is developed to more precisely reflect the domain knowledge in need and thus increase the value of domain ontology. The above objective can be achieved through: (i) domain ontology adaptation model design, (ii) domain ontology adaptation method development, and (iii) system implementation with a case study. Domain ontology adaptation model design includes adaptation factor analysis, user scenario analysis and adaptation model development. And, domain ontology adaptation method development includes the developments of adaptation procedure, user preference analysis, and requirement-based concept clustering.

The results of this research can enhance the accuracy of the domain ontology and personalized knowledge search and recommendation, and thus enhance the competitiveness of enterprises.