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Digital Libraries, Joint Conference on (2004)
Tuscon, AZ, USA
June 7, 2004 to June 11, 2004
ISBN: 1-58113-832-6
pp: 345-346
Shu-Lei Chen , National Tsing Hua University, Hsin Chu, Taiwan
Shih-Yao Yang , National Tsing Hua University, Hsin Chu, Taiwan
Yi-Ting Fu , National Tsing Hua University, Hsin Chu, Taiwan
Von-Wun Soo , National Tsing Hua University, Hsin Chu, Taiwan
This research aims to utilize semantic web[Integrating Applications on the Semantic Web] technology to the semantic annotation of classical Chinese poetry. We investigate the feasibilities and advantages of semantic retrieval and automated ontology acquisition from semantically annotated poems based on a Chinese thesaurus. We have induced a set of semantic composition rules for pair-wise character (word) patterns that can be used to parse the poem sentences and recursively generate RDF[Resource Description Framework (RDF) Model and Syntax Specification W3C Recommendation 22, February, 1999] triple relations among the pair of characters (words). We have also defined a scoring scheme to assess semantic similarity for semantic retrieval. We showed that the semantic retrieval method significantly outperformed the keyword-based retrieval method.
Ontology Acquisition, Semantic Web, Semantic Retrieval, Semantic Annotation
Shu-Lei Chen, Shih-Yao Yang, Yi-Ting Fu, Von-Wun Soo, "Ontology Acquisition and Semantic Retrieval from Semantic Annotated Chinese Poetry", Digital Libraries, Joint Conference on, vol. 00, no. , pp. 345-346, 2004, doi:10.1109/JCDL.2004.1336146
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