Document Detail

Using argumentation to retrieve articles with similar citations: an inquiry into improving related articles search in the MEDLINE digital library.
MedLine Citation:
PMID:  16165395     Owner:  NLM     Status:  MEDLINE    
The aim of this study is to investigate the relationships between citations and the scientific argumentation found abstracts. We design a related article search task and observe how the argumentation can affect the search results. We extracted citation lists from a set of 3200 full-text papers originating from a narrow domain. In parallel, we recovered the corresponding MEDLINE records for analysis of the argumentative moves. Our argumentative model is founded on four classes: PURPOSE, METHODS, RESULTS and CONCLUSION. A Bayesian classifier trained on explicitly structured MEDLINE abstracts generates these argumentative categories. The categories are used to generate four different argumentative indexes. A fifth index contains the complete abstract, together with the title and the list of Medical Subject Headings (MeSH) terms. To appraise the relationship of the moves to the citations, the citation lists were used as the criteria for determining relatedness of articles, establishing a benchmark; it means that two articles are considered as "related" if they share a significant set of co-citations. Our results show that the average precision of queries with the PURPOSE and CONCLUSION features is the highest, while the precision of the RESULTS and METHODS features was relatively low. A linear weighting combination of the moves is proposed, which significantly improves retrieval of related articles.
Imad Tbahriti; Christine Chichester; Frédérique Lisacek; Patrick Ruch
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2005-09-13
Journal Detail:
Title:  International journal of medical informatics     Volume:  75     ISSN:  1386-5056     ISO Abbreviation:  Int J Med Inform     Publication Date:  2006 Jun 
Date Detail:
Created Date:  2006-05-02     Completed Date:  2006-11-06     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  9711057     Medline TA:  Int J Med Inform     Country:  Ireland    
Other Details:
Languages:  eng     Pagination:  488-95     Citation Subset:  IM    
SIM, University and Hospitals of Geneva, 24 Micheli du Crest, 1211 Geneva, Switzerland.
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MeSH Terms
Abstracting and Indexing as Topic / methods*
Artificial Intelligence
Database Management Systems
Information Storage and Retrieval / methods*,  standards
Libraries, Digital*
Natural Language Processing*
Periodicals as Topic
Terminology as Topic*
Vocabulary, Controlled*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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