Result: Literature retrieval based on citation context

Title:
Literature retrieval based on citation context
Authors:
SHENGBO LIU, CHAOMEI CHEN, KUN DING, BO WANG, KAN XU, YUAN LIN
Source:
Selected Papers of the 14th International Conference of the International Society for Scientometrics and Informetrics (ISSI), July 15-19, 2013, Vienna, AustriaScientometrics (Print). 101(2):1293-1307
Publisher Information:
Dordrecht: Springer, 2014.
Publication Year:
2014
Physical Description:
print, 1 p.1/4
Original Material:
INIST-CNRS
Subject Terms:
Information and communication sciences, Sciences de l'information communication, Documentation, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Sciences de l'information. Documentation, Information science. Documentation, Sciences de l'information et des bibliothèques. Etude d'ensemble, Library and information science. General aspects, Bibliométrie. Scientométrie. Evaluation, Bibliometrics. Scientometrics. Evaluation, Sciences de l'information et de la communication, Information and communication sciences, Bibliométrie. Scientométrie, Bibliometrics. Scientometrics, Analyse citation, Citation analysis, Análisis citas, Base de données, Database, Base dato, Citation, Citación, Classification, Clasificación, Etude comparative, Comparative study, Estudio comparativo, Recherche scientifique, Scientific research, Investigación científica, Texte intégral, Full text, Texto completo, Citation context classification, Citation context, Literature retrieval, Tag cloud
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
WISElab, Dalian University of Technology, No. 2. Linggong Road, Ganjingzi District, Dalian 116024, China
College of Computing and Informatics, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104-2875, United States
Information Retrieval Laboratory, Dalian University of Technology, Dalian, China
ISSN:
0138-9130
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=28892105
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation

FRANCIS
Accession Number:
edscal.28892105
Database:
PASCAL Archive

Further Information

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 of comparisons show that the reference retrieval module performed better than Google Scholar and PubMed database in terms of finding proper references based on topic words extracted from citation context. It also performed very well on searching highly cited papers and classic papers. The citation context retrieval module visualizes the topics of citation contexts as tag clouds and classifies citation contexts based on cue words in citation contexts.