高级工程师
性别: 男
毕业院校: 大连理工大学
学位: 博士
所在单位: 计算机科学与技术学院
学科: 计算机应用技术
办公地点: 创新园大厦D0103房间
联系方式: QQ:2407849530
电子邮箱: xukan@dlut.edu.cn
qq : 2407849530
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论文类型: 会议论文
发表时间: 2013-07-15
收录刊物: SCIE、EI、CPCI-SSH、Scopus
卷号: 1
页面范围: 1114-1126
摘要: While the citation context of a reference may provide detailed and direct information about the nature of a citation, few studies have specifically addressed the role of this information in retrieving relevant documents from the literature primarily due to the lack of full text databases. In this paper, we design a retrieval system based on full texts in the PubMed Central database. We constructed two modules in the retrieval system. One is a reference retrieval module based on citation contexts. Another is a citation context retrieval module for searching the citation contexts of a specific paper. The results showed that the retrieval system performed very well on searching highly cited papers and classic papers. The citation contexts of a paper might be related to many topics. Finally, tag cloud is employed to present these topics.