This paper presents a new method based on ontology formarion and fuzzy recognition of digital pictures. Ontology creation and doormat indexing are well-kown bottlenecks for integrating semantic services and for the Se...This paper presents a new method based on ontology formarion and fuzzy recognition of digital pictures. Ontology creation and doormat indexing are well-kown bottlenecks for integrating semantic services and for the Semantic Web, and thus the new method will be able to make automatic creation of the fish geometric ontology and automatic indexing to existing Semantic Web. Fuzzy set and fuzzy recognition are used to decide wheter a new fish picture belongs to an existing training set, here with the carp as an example. Training ing samples are used to set up fuzzy set and membership functions. The existing way of fish ontology formation can be integrated with the new method and the existing work for fish web can be used.展开更多
The construction of virtual community in foreign language learning is a comprehensive foreign language learning environment integrated with foreign language vocabulary database construction and vocabulary retrieval, c...The construction of virtual community in foreign language learning is a comprehensive foreign language learning environment integrated with foreign language vocabulary database construction and vocabulary retrieval, combining the virtual reality technology to construct the language environment of foreign language learning. The virtual community of foreign language leaming can improve the sense of language authenticity in foreign language learning and improve the quality of foreign language teaching. A method of building a virtual community for foreign language learning is proposed based on data mining technology, data acquisition and feature preprocessing model for building semantic vocabulary of foreign language learning is constructed, the linguistic environment characteristics of the semantic vocabulary data of foreign language learning is analyzed, and the semantic noumenon structure model is obtained. Fuzzy clustering method is used for vocabulary clustering and comprehensive retrieval in the virtual community of foreign language learning, the performance of vocabulary classification in foreign language learning is improved, the adaptive semantic information fusion method is used to realize the vocabulary data mining in the virtual community of foreign language learning, information retrieval and access scheduling for virtual communities in foreign language learning are realized based on data mining results. The simulation results show that the accuracy of foreign language vocabulary retrieval is good, improve the efficiency of foreign language learning.展开更多
基金supported by the Independent Innovation Foundation of Shandong University(No.2009JC004)the Natural Science Foundation of Shandong Province(No.Y2007G31)
文摘This paper presents a new method based on ontology formarion and fuzzy recognition of digital pictures. Ontology creation and doormat indexing are well-kown bottlenecks for integrating semantic services and for the Semantic Web, and thus the new method will be able to make automatic creation of the fish geometric ontology and automatic indexing to existing Semantic Web. Fuzzy set and fuzzy recognition are used to decide wheter a new fish picture belongs to an existing training set, here with the carp as an example. Training ing samples are used to set up fuzzy set and membership functions. The existing way of fish ontology formation can be integrated with the new method and the existing work for fish web can be used.
文摘The construction of virtual community in foreign language learning is a comprehensive foreign language learning environment integrated with foreign language vocabulary database construction and vocabulary retrieval, combining the virtual reality technology to construct the language environment of foreign language learning. The virtual community of foreign language leaming can improve the sense of language authenticity in foreign language learning and improve the quality of foreign language teaching. A method of building a virtual community for foreign language learning is proposed based on data mining technology, data acquisition and feature preprocessing model for building semantic vocabulary of foreign language learning is constructed, the linguistic environment characteristics of the semantic vocabulary data of foreign language learning is analyzed, and the semantic noumenon structure model is obtained. Fuzzy clustering method is used for vocabulary clustering and comprehensive retrieval in the virtual community of foreign language learning, the performance of vocabulary classification in foreign language learning is improved, the adaptive semantic information fusion method is used to realize the vocabulary data mining in the virtual community of foreign language learning, information retrieval and access scheduling for virtual communities in foreign language learning are realized based on data mining results. The simulation results show that the accuracy of foreign language vocabulary retrieval is good, improve the efficiency of foreign language learning.
