[Objective] Taking the knowledge of tea-science field as research object,an extraction method for the taxonomic relation of ontology conception was proposed in the paper.[Method] Through improving the rule based on la...[Objective] Taking the knowledge of tea-science field as research object,an extraction method for the taxonomic relation of ontology conception was proposed in the paper.[Method] Through improving the rule based on language mode,generalized suffix tree was constructed for the concept set of tea-science field,forming hierarchical structure and taxonomic relation among conceptions.[Result and Conclusion] Moreover,corresponding prototype system was developed based on above method,and test result indicating that the method was effective.展开更多
Both a general domain-independent bottom-up multi-level model and an algorithm for establishing the taxonomic relation of Chinese ontology are proposed.The model consists of extracting domain vocabularies and establis...Both a general domain-independent bottom-up multi-level model and an algorithm for establishing the taxonomic relation of Chinese ontology are proposed.The model consists of extracting domain vocabularies and establishing taxonomic relation,with the consideration of characteristics unique to Chinese natural language.By establishing the semantic forests of domain vocabularies and then using the existing semantic dictionary or machine-readable dictionary(MRD),the proposed algorithm can integrate these semantic forests together to establish the taxonomic relation.Experimental results show that the proposed algorithm is feasible and effective in establishing the integrated taxonomic relation among domain vocabularies and concepts.展开更多
文摘[Objective] Taking the knowledge of tea-science field as research object,an extraction method for the taxonomic relation of ontology conception was proposed in the paper.[Method] Through improving the rule based on language mode,generalized suffix tree was constructed for the concept set of tea-science field,forming hierarchical structure and taxonomic relation among conceptions.[Result and Conclusion] Moreover,corresponding prototype system was developed based on above method,and test result indicating that the method was effective.
基金Sponsored by the National Natural Science Foundation of China(Grant No.60496326 and No.10671045)
文摘Both a general domain-independent bottom-up multi-level model and an algorithm for establishing the taxonomic relation of Chinese ontology are proposed.The model consists of extracting domain vocabularies and establishing taxonomic relation,with the consideration of characteristics unique to Chinese natural language.By establishing the semantic forests of domain vocabularies and then using the existing semantic dictionary or machine-readable dictionary(MRD),the proposed algorithm can integrate these semantic forests together to establish the taxonomic relation.Experimental results show that the proposed algorithm is feasible and effective in establishing the integrated taxonomic relation among domain vocabularies and concepts.
