基于本体的语义信息集成与知识发现研究摘要：在语义信息集成和知识发现的研

基于本体的语义信息集成与知识发现研究
摘要：在语义信息集成和知识发现的研究中，自动问答系统是研究的关键所在，被誉为下一代的搜索引擎。在自动问答系统中，用户使用日常生活中的句子提问,系统通过对问题分析和答案检索之后，直接给出简短而准确的答案。而本体作为当前语义信息集成和知识发现的研究热点，越来越得到人们的重视。本文从本体基本概念出发，对构建基于本体的自动问答系统所需要技术进行探讨和深入研究，这些技术有:本体的构建，本体的集成，基于本体的语义信息集成，句子相似度计算等。在此基础上设计并实现了基于同义词词林的自动问答系统,实验测评表明了此自动问答系统具有良好的应用效果。
关键词:本体,语义集成,自动问答系统,知识发现

結果 (英文) 1:

Study on semantic information integration based on ontology and knowledge discoverySummary: the semantic information integration and knowledge discovery study, automatic question answering system is the key to research, known as the next generation of search engines. Automatic question answering system, users use daily life sentences in question, after system retrieved through the analysis of the problem and the answer directly to give brief and accurate answers. Ontology as the current research and knowledge discovery of semantic information integration, more and more attention. Based on the basic concepts of ontology, needed for building a question answering system based on ontology technique study and in-depth studies, these technologies are: construction of ontology, ontology integration, semantic information integration based on ontology and sentence similarity computation. Design and realization based on automatic question answering system based on synonym Word forest, experimental evaluation showed that the QA system with good results.Keywords: Ontology, semantic integration, automatic question answering system, knowledge discovery

結果 (英文) 2:

Ontology-based semantic information integration and knowledge discovery research
Abstract: The study of semantic information integration and knowledge discovery, the automatic question answering system is the key to the study, known as the next generation of search engines. In the question answering system, users use everyday sentences to ask questions, after a system problem analysis and answers by searching directly give a brief and accurate answers. And as the current ontology semantic information integration and knowledge discovery research focus, more and more people's attention. Starting from the basic concept of the body, to build automatic question answering system based on ontology to be explored and in-depth study required technologies are: ontology construction, ontology integration and ontology-based semantic information integration sentence similarity computing. Designed and implemented with a good effect on the automatic question answering system synonym CiLin experimental evaluation shows that this automatic question answering system on this basis.
Keywords: ontology, semantic integration, automatic question answering systems, knowledge discovery

結果 (英文) 3:

Research on ontology based semantic information integration and knowledge discoveryAbstract: in the research of semantic information integration and knowledge discovery, automatic question answering system is the key of the research, which is regarded as the next generation search engine. In automatic question answering system, users use sentence questions in daily life. The system gives short and accurate answers after analyzing and retrieving answers. Ontology, as the research focus of current semantic information integration and knowledge discovery, attracts more and more attention. This paper from the basic concept of ontology, to construct the automatic question answering system needed technology and in-depth study based on ontology, these techniques are: ontology construction, ontology integration, semantic information integration based on ontology, sentence similarity calculation etc.. On this basis, an automatic question answering system based on synonym forest is designed and implemented. Experimental results show that the automatic question answering system has good application effect.Keywords: ontology, semantic integration, automatic question answering system, knowledge discovery