Abstract—In this paper, we propose a comprehensive semantic annotation method supported by a user-oriented markup language named Olan to facilitate semantic annotation for the purpose of acquisition of knowledge from classical Chinese poetry so as to build a high quality knowledge base. Olan is a language readable and operable by human annotators and transformable to formal knowledge representation languages such as OWL (Web Ontology Language) for knowledge reasoning. To ensure the effectiveness of the method, we develop a multi-language semantic annotation tool. With the features of online and offline searching, ontology visualizing, knowledge transforming and reasoning, the method is applicable of knowledge acquisition for semantic annotation of classical Chinese poetry.
Index Terms—Semantic annotation tool, ontology, knowledge acquisition, Olan, OWL
T. Hao is with the Department of Chinese, Translation and Linguistics,
City University of Hong Kong, Hong Kong, China. (e-mail:
Y. Zhang, Fang Xia and Chunshen Zhu are with the Department of Chinese, Translation and Linguistics, City University of Hong Kong, Hong Kong, China
Cite: Tianyong Hao, Yinsheng Zhang, Fang Xia, and Chunshen Zhu, "Towards A Comprehensive Semantic Annotation Method for Knowledge Acquisition from Classical Chinese Poetry," International Journal of Information and Education Technology vol. 2, no. 3, pp. 204-207, 2012.