Ontology acquisition and semantic retrieval from semantic annotated chinese poetry

Authors:
Wun Von Soo;Yao Shih Yang;Lei Shu Chen;Ting Yi Fu
Affiliations:
National Tsing Hua University, Taiwan;National Tsing Hua University, Taiwan;National Tsing Hua University, Taiwan;National Tsing Hua University, Taiwan
Venue:
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Year:
2004

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Abstract

This research aims to utilize semantic web[1]. 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[2]. 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.