节点文献
基于关联的科技文献检索方法
Relationship-based literature retrieval method
【摘要】 设计了一种科技文献关联模型,并基于此模型提出一种科技文献关联检索方法.科技文献关联模型描述了科技文献中的实体和实体之间的各种关联、实体的属性以及关联的属性,从全局的角度为科技文献检索构建了一种整体结构,为科技文献中孤立信息的互联提供支持.科技文献关联检索方法为用户检索提供全面的关联信息,支持用户检索行为的连续性以及不同的文献实体之间的交叉检索,便于用户逐步浏览感兴趣的文献信息.通过与文献检索系统CiteSeer和DBLP检索方法的对比测试,结果表明了本方法的有效性.
【Abstract】 With respect to the singleness and blindness of traditional
【关键词】 关联；
检索；
科技文献；
模型；
实体；
【Key words】 based literature retrieval,built was a relationship-based literature retrieval model,and proposed was a relationship-based literature retrieval method based on this model.Relationship-based literature retrieval model,which revealed literature entities,explicit and implicit associations between entities,properties of entities,and properties of associations,composed a uniform structure for literature retrieval from global view and could support linkage of isolate information.Relationship-based literature retrieval method could provide comprehensive association information to user′s retrieval as well as support user′s successive retrieval behavior and crossed retrieval of different entities,so as to enable users to browse literature information that interested them.The evaluation showed the efficiency of the method through comparing with the popular literature retrieval systems-CiteSeer and DBLP.Key words: relationship； retrieval； literature； model； entity；
【Key words】 based literature retrieval,built was a relationship-based literature retrieval model,and proposed was a relationship-based literature retrieval method based on this model.Relationship-based literature retrieval model,which revealed literature entities,explicit and implicit associations between entities,properties of entities,and properties of associations,composed a uniform structure for literature retrieval from global view and could support linkage of isolate information.Relationship-based literature retrieval method could provide comprehensive association information to user′s retrieval as well as support user′s successive retrieval behavior and crossed retrieval of different entities,so as to enable users to browse literature information that interested them.The evaluation showed the efficiency of the method through comparing with the popular literature retrieval systems-CiteSeer and DBLP.Key words: relationship； retrieval； literature； model； entity；
【基金】 国家重点基础研究发展计划资助项目(2003CB317003);高等学校科技创新工程重大项目培育资金资助项目(705034)
- 【文献出处】 华中科技大学学报(自然科学版) ,Journal of Huazhong University of Science and Technology(Nature Science Edition) , 编辑部邮箱 ,2007年11期
- 【分类号】TP391.3
- 【被引频次】6
- 【下载频次】677