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基于单文档的上下文查询信息抽取*
杭月芹1 姚滢1 沈洁2
1(南通大学计算机科学与技术学院 南通 226006)
2(扬州大学信息工程学院计算机科学与工程系 扬州 225009)
提出一种结合全局分析和局部分析从单篇文档中抽取查询信息的算法。利用全局分析提取用户的查询兴趣，通过局部分析消除查询词的歧义性。实验结果表明，该方法能较全面反映用户查询的上下文信息，提高查询的相关度。
Towards Context Query Information Extraction Based on Single Document
Hang Yueqin1 Yao Ying1 Shen Jie2
1(Institute of Computer Science and Technology, Nantong University, Nantong 226006, China)
2(Department of Computer Science and Engineering, College of Information Engineering, Yangzhou University, Yangzhou 225009, China)
Based on single document, this paper puts foward an approach in which global analysis is combined with local analysis is proposed to extract the information of the query. By global analysis, keywords are extracted from the whole document to reflect the user’s research preference. While in local analysis step, query is disambiguated by extracting keywords from the text that is around the marked query. The results of the experiment show that the method above can reflect the query information more comprehensive and improve the relevance of the information retrieval.
TP301.6
*本文系江苏省高校自然科学基金资助项目“智能分布Web信息处理研究”（项目编号：02KJB520013）的研究成果之一。
1Steve Lawrence, Context in Web Search, Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 2000: 25-32
2Xuehua Shen,Chengxiang Zhai Exploiting Query History for Document Ranking in Interactive Information Retrieval，In : Proceedings of SIGIR'03 (Poster), 2003: 377-378
3Finkelstein L, Gabrilovich E, Matias Y, Rivlin E, Solan A, Wolfman G, Ruppin E. Placing search in context: the concept revisited. ACM Transactions on Information Systems, 2002, 20(1): 116-131
4Mohammed A Razek, Claude Frasson, Marc Kaltenbach A Context-Based Information Agent for Supporting Intelligent Distance Learning Environments, Twelfth International World Wide Web Conference, Budapest, 2003
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9Alan Turing Computing machinery and intelligence, Mind 59, 1950: 433-460
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