並列摘要
This study incorporates the strategy of the incremental model, to construct a valid domain ontology. The advantages of the proposed solution are manifold. From the development aspect, it can reduce the development time for domain-specific ontology and rapidly modify ontology, according to the purpose and needs. From the software aspect, it is efficient in its, sharing and reuse of the constructed ontology. From the research aspect, the valid ontology can be used to store and classify the corresponding knowledge. A domain ontology of C language, based on the proposed method, is then developed. To assess the performance of the constructed ontology, five experts and scholars are invited and F1-measure is also applied to appraise the ontology. Findings show that the established domain ontology of C language is valid.
延伸閱讀
- Zhang, X. K., Gao, X. Y., Zhang, Q., & Jia, J. (2016). Research on the Rough Extension of Ontology Description Language of SWRL. Journal of Electrical and Computer Engineering, 2016(), 532-539. https://doi.org/10.1155/2016/5636254
- Kong, C. Y. (2004). Effective partial ontology mapping in a pervasive computing environment [master's thesis, The University of Hong Kong]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0029-1812201200011955
- 謝珮君（2008）。Applying Ontology with Semantic Rules to Develop a Healthy Diet Consultation System〔碩士論文，中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu200900641
- 郭奕宏、吳泰廷（2014）。A Multi-strategy Ontology Matching System。電腦與通訊，(155)，69-76。https://www.airitilibrary.com/Article/Detail?DocID=1019391x-201402-201403070021-201403070021-69-76
- 洪潤宇（2012）。Personal Ontology for Service Composition Selection〔碩士論文，國立中正大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0033-2110201613522945