计算机科学 ›› 2010, Vol. 37 ›› Issue (1): 1-5.

• 综述 •    下一篇

语义Web搜索技术研究进展

叶育鑫,欧阳丹彤   

  1. (吉林大学计算机科学与技术学院 长春130012),(符号计算与知识工程教育部重点实验室 长春130012)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家自然科学基金重大项目基金(60496320,60496321),国家自然科学基金(60773097,60873148),新世纪优秀人才支持计划项目基金,吉林省科技发展计划项目基金(20060532,20080107)和欧盟项目基金TH/Asia Link/O10 (111084)资助。

New Research Advances in Technologies of Semantic Web Search

YE Yu-xin,OUYANG Dan-tong   

  • Online:2018-12-01 Published:2018-12-01

摘要: 语义Web搜索技术是综合本体论、信息检索、自然语言处理等多学科理论和方法的新兴技术。介绍了语义Web和语义Web搜索的现状。在此基础上,给出了实现语义Web搜索技术的一般体系结构,并进一步分析了各组成 模块的基本任务、现有技术和评价体系。最后给出了所做的相关工作和对语义Web搜索技术的展望。

关键词: 语义Web搜索,本体,信息检索,智能搜索引擎

Abstract: Technologies of semantic Web search are very novel and young. There are many theories and approaches contributed to semantic Web search, such as ontologies, information retrieval, natural language processing, and so on. Situadons of semantic Web and semantic Web search were introduced dividually. hhen, the general architecture of semantic Web search engine was concluded through analyzing research at home and abroad in detail. This architecture is composed of four models, including information extraction models, intelligent interface models, information query models,and user query models. The functions, technologies, and evaluation systems of models which arc different components of this general architecture were introduced in further. At last, the conclusion about our work was given. At the same time,the future challenge of semantic Web search technologies was discussed.

Key words: Semantic Web search, Ontology, Information retrieval, Intelligent search engine

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