Ontology mapping: the state of the art
The Knowledge Engineering Review
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ACM SIGMOD Record
ICCPOL '09 Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
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The present study presents the lexical category relevancy analysis of the Thousand-Character Text and Chinese radicals, to Roget's thesaurus. According to the comparison of the Thousand-Character Text and Roget's thesaurus, most of the 39 sections of Roget's thesaurus are relevant to Chinese characters in the Thousand-Character Text. The correlation coefficient is around 0.90. In the case of Chinese radicals, 30 sections of Roget's thesaurus are relevant to the radicals. The correlation coefficient is around 0.85, showing considerable relevancy between Chinese radicals and sections of Roget's thesaurus, as well.