期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

基于信息抽取的匿名用户兴趣描述 被引量：1

An Anonymous User Interest Profile Based on Information Extraction
下载PDF
导出
摘要 为准确地获取动态的用户兴趣信息,提出了一种基于信息抽取的用户兴趣自动获取方法.该方法首先根据电子商务网站中商品的领域知识构建领域Ontology,然后基于该领城Ontology自动抽取用户事务的语义文本信息,并将结构化的信息存入内容数据库,最后通过分析这些数据库中信息的特征值取得用户兴趣的描述文件.在汽车销售网站上的应用实例表明了该方法的有效性. In order to get exact information about user interest, a method based on information extraction is proposed to automatically get user interest. Firstly, the domain Ontology is constructed according to the domain knowledge of commodities sold in e-commerce websites. Next, semantic data are automatically extracted from unstructured documents on the basis of the domain Ontology. The structured data are then stored into the content databases. Finally, a user interest profile is obtained by analyzing the characteristic values of the information in the databases. An application instance of the proposed method in a website for car sale testifies its validity.
作者 王波 姚敏
机构地区 浙江大学计算机学院
出处 《华南理工大学学报（自然科学版）》 EI CAS CSCD 北大核心 2004年第z1期117-120,共4页 Journal of South China University of Technology(Natural Science Edition)
关键词 领域ONTOLOGY 信息抽取 语义分析 兴趣描述 domain Ontology infonnadon extraction semantic analysis user interest
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
  • 相关文献

参考文献10

  • 1[1]Mobasher B,Cooley R,Srivastava J. Automatic personalized based on Web usage mining [J]. Communication of the ACM,2000,43 (8): 142 - 151.
  • 2[2]Konstan J,Miller B,Maltz D,et al. GroupLens:Applying collaborative filtering to usenet news [J]. Communication of the ACM, 1997,40 (3) :77 - 78.
  • 3[3]Balabanovic M,Shoham Y. Fab :Content-based,collaborative recommendation [J]. Communication of the ACM,1997,40(3) :66 -72.
  • 4[4]Wu K L, Chen Y C, Chen A L P. Enabling personalized recommendation on the Web based on user interests and behaviors [A]. Klas W. Proceedings of the 11th International Workshop on Research Issues in Data Engineerring [C]. Los Alamitos :IEEE CS Press ,2001.12 - 20.
  • 5[5]Dai H,Mobasher B. Using ontologies to discover domainlevel Web usage profile [A]. The 2nd Semantic Web Mining Workshop at ECML/PKDD02 [C]. Helsinki,2002.22 - 45.
  • 6[6]David W Embley,Campbell M,Randy D. Ontology-based extraction and structuring of information from data-rich unstructured documents [A]. The 7th International Conference on Information and Knowledge Management [C]. Bethesda, Maryland, 1998.52 - 59.
  • 7[7]Horrocks Ian. DAML + OIL: A description logic for the semantic Web [J]. IEEE Bulletin of the Technical Committee on Data Engineering ,2002,25 (1) :4 - 9.
  • 8[8]Horrocks Ian,Tessaris Sergio. Querying the semantic Web:A formal approach [A]. The lst International Semantic Web Conference(ISWC 2002) [C]. London: SpringerVerlag,2002. 177 - 191.
  • 9[9]David W Embley,Campbell M,Jiang Y S. A conceptualmodeling approach to extraction data from Web [A].Proceeding of the 17th International Conference on Conceptual Modeling [C]. Singapore, 1998.78 - 91.
  • 10[10]Maedche A,Staab S. Learning ontologies for the semantic Web [A]. The 2nd International Workshop on the Semantic Web [C]. Hong Kong,2001.50 -60.

同被引文献58

引证文献1

二级引证文献1

华南理工大学学报（自然科学版）
2004年 第z1期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部