鍾震

Knowledge has been the most important resource in the contemporary economic system. Enterprises need to take effective knowledge- management strategies to provide right knowledge to appropriate knowledge workers at a suitable time in order gain highest benefit. However, accurate knowledge representation is a fundamental and critical point for knowledge management among enterprises. Ontologies are the most popular and acceptable technology to represent domain knowledge due to its structurized representing fashion which performs well in semantic transition, transaction and reuse for knowledge concepts to the end of applying knowledge more smoothly by knowledge user. But the rapidly growth of knowledge with more and more interdisciplinary knowledge workers may relatively decrease the integrity of domain ontologies which reduces its value somehow.

This study proposed a Demand-Driven Knowledge Acquisition Method for enhancing the integrity of domain ontologies. This method acquires and integrates knowledge concepts which the original domain ontology lacked according to users’ knowledge demand in order to increases the value of domain ontologies. According to above mentioned purpose, the study first design a process model of “Demand-Driven Knowledge Acquisition for Enhancing Domain Ontology” and then develops following methods according to such model: (1) Demand Preprocessing, (2) Knowledge Retrieval and Searching, (3) Ontology Construction, (4) Ontology Integration. Finally, implement such model as a mechanism.