Ontology acquisition and semantic retrieval from semantic annotated chinese poetry
| Autor: | Yi-Ting Fu, Shu-Lei Chen, Von-Wun Soo, Shih-Yao Yang |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Information retrieval
Computer science business.industry InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL Semantic search computer.software_genre Semantic equivalence Semantic similarity Explicit semantic analysis TheoryofComputation_LOGICSANDMEANINGSOFPROGRAMS Semantic computing Semantic analytics Semantic technology Semantic Web Stack Artificial intelligence business computer Natural language processing |
| Zdroj: | JCDL |
| DOI: | 10.1145/996350.996429 |
| Popis: | We aim to utilize semantic Web [James Hendler et al., (2002)] 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 [(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. |
| Databáze: | OpenAIRE |
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