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基于UDDI Registry的智能检索引擎的研究 被引量:2

Research of intelligent information search engine based on UDDI registry
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摘要 随着Web Services技术的不断成熟和发展,存储在UDDI Registry中的Web Service信息将会变得越来越庞大,如何从UDDI Registry浩如烟海的信息资源中为用户快速、方便、准确地检索出满足需求的Web Service,将变得十分重要。而传统的基于关键词匹配的检索技术已不能满足用户准确而全面定位信息的要求。因此,以WebService的文本描述信息为研究对象,运用文本挖掘相关方法,构建出用户概念空间,对用户提出的查询要求进行概念检索。着重介绍了用户概念空间的构建方法以及概念检索的匹配运算过程,并给出了应用于UDDI Registry的一种智能检索引擎系统模型。 With the constant development of web services technology, then the web service information stored in UDDI registry will become hnger and huger, how to fast, conveniently, accurately search out the web Service which meet the users' need from voluminous information resources stored in UDDI registry will become very important. But the traditional information retrieval method based on keyword matching can't meet the users' need any more, therefore, the text description information of web service is regarded as the research object, relative methods of text mining is used to build the user's private concept space through mining the user's access pattern, and search web service for user based on concept retrieval by using it. The method of building the user's private concept space and the process of concept matching are introduced in detail, at last a system model of intelligent information search engine applying to UDDI registry is given.
出处 《计算机工程与设计》 CSCD 北大核心 2007年第4期858-861,共4页 Computer Engineering and Design
关键词 WEB SERVICE 用户概念空间 概念检索 特征项 UDDI REGISTRY user's concept space concept matching characteristic word UDDI registry
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  • 1李晓黎.WEB信息检索与分类中的数据采掘研究,博士学位论文[M].中国科学院计算技术研究所,2001..
  • 2李源.网页概念主语义空间的建立和联想检索的研究,硕士学位论文[M].中国科技大学,2001..
  • 3俞士汶 朱学峰 段慧明.大规模现代汉语标注语料库的加工规范[A]..多语言信息处理国际会议2000''ICMIP论文集[C].,2000.19~24.
  • 4王开铸.自然语言理解[M].哈尔滨:哈尔滨工业大学出版社,1996..
  • 5[1]Chen H. The vocabulary problem in collaboration. IEEE COMPUTER, Special Issue on CSCW, 1994,27(5): 2~10
  • 6[2]Furnas G W. et al.. The vocabulary problem in human-system communication. Comm. ACM, 1987,30(11): 964~971
  • 7[3]Chen H, Tobun D Ng. A concept space approach to addressing the vocabulary problem in scientific information: an experiment on the worm community System. Journal of the American Society for Information Science, 1997, 48(1):17~31
  • 8[4]Chen H, Lynch K J . Automatic construction of networks of concepts characterizing document databases. IEEE Transactions on Systems, Man and Cybernetics, 1992, 22(5)
  • 9[5]Ekmekcioglu F C, Roberton A M, Willett P. Effectiveness of query expansion in ranked-output document retrieval systems.Journal of Information Science, 1992, 18:139~147
  • 10[6]Green R. Topical relevance relationships. I. An exploratory study and preliminary typology. Journal of the American Society for Information Science. 1995, 46:654~662

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