LITERATURE RETRIEVAL BASED ON CITATION CONTEXT

被引：0

作者：

Liu, Shengbo ^{[1
]}

Chen, Chaomei ^{[2
]}

Ding, Kun ^{[1
]}

Wang, Bo ^{[1
]}

Xu, Kan ^{[3
]}

机构：

[1] Dalian Univ Technol, WISElab, Dalian 116024, Peoples R China

[2] Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USA

[3] Dalian Univ Technol, Informat Retrieval Lab, Dalian 116024, Peoples R China

来源：

14TH INTERNATIONAL SOCIETY OF SCIENTOMETRICS AND INFORMETRICS CONFERENCE (ISSI) | 2013年

关键词：

COMPUTER RECOGNITION; CITING STATEMENTS; COCITATION;

D O I：

暂无

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

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.

引用

页码：1114 / 1126

页数：13

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