| 英文摘要 |
For ontology developers, constructing comprehensible concepts of a know ledge domain is often problematic and time-consuming. The development process can be improved by reusing concept representation. However, the availability of reusable ontology is limited in practice due to the communication gaps existing between human cognition and machine-readable semantic representation required in knowledge engineering. Nowadays, textual documents that act as one of the most important medium to express human cognition are major resources for the acquisition of know ledge in computing systems. This study aims to develop a systematical approach to building reusable ontology prototypes from the documents. Several issues are identified such as how to recognize terminologies in textual corpus, to name concept tags in the terminologies, and to derive conceptual hierarchies. The proposed approach integrates concept extraction techniques that employ text-mining, linguistic, and psychological analysis methods. The empirical assessment reports the usability ratios of both conceptual tags and hierarchies exceed 70 percents. Consequently, the synergy of the elicitation techniques allows the developers to efficiently create and distribute ontology repository in specific domains. |
