Is searching full text more effective than searching abstracts?
Open Access
- 3 February 2009
- journal article
- research article
- Published by Springer Nature in BMC Bioinformatics
- Vol. 10 (1) , 46
- https://doi.org/10.1186/1471-2105-10-46
Abstract
With the growing availability of full-text articles online, scientists and other consumers of the life sciences literature now have the ability to go beyond searching bibliographic records (title, abstract, metadata) to directly access full-text content. Motivated by this emerging trend, I posed the following question: is searching full text more effective than searching abstracts? This question is answered by comparing text retrieval algorithms on MEDLINE® abstracts, full-text articles, and spans (paragraphs) within full-text articles using data from the TREC 2007 genomics track evaluation. Two retrieval models are examined: bm25 and the ranking algorithm implemented in the open-source Lucene search engine.Keywords
This publication has 36 references indexed in Scilit:
- Frontiers of biomedical text mining: current progressBriefings in Bioinformatics, 2007
- Accessing bioscience images from abstract sentencesBioinformatics, 2006
- Using argumentation to retrieve articles with similar citations: An inquiry into improving related articles search in the MEDLINE digital libraryInternational Journal of Medical Informatics, 2006
- Biomedical Language Processing: What's Beyond PubMed?Molecular Cell, 2006
- Distribution of information in biomedical abstracts and full-text publicationsBioinformatics, 2004
- The Google file systemACM SIGOPS Operating Systems Review, 2003
- Web search for a planet: the google cluster architectureIEEE Micro, 2003
- Relevance ranking for one to three term queriesInformation Processing & Management, 2000
- The anatomy of a large-scale hypertextual Web search engineComputer Networks and ISDN Systems, 1998
- A vector space model for automatic indexingCommunications of the ACM, 1975