Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/15596
metadata.artigo.dc.title: Applying information retrieval techniques to detect duplicates and to rank references in the preliminary phases of systematic literature reviews
metadata.artigo.dc.creator: Morais, Ramon Abilio Flávio
Vale, Gustavo
Oliveira, Claudiane
Pereira, Denilson Alves
Costa, Heitor
metadata.artigo.dc.subject: Systematic literature review
Information retrieval
Vector model
Primary selection
metadata.artigo.dc.publisher: Centro Latinoamericano de Estudios en Informática
metadata.artigo.dc.date.issued: Aug-2015
metadata.artigo.dc.identifier.citation: MORAIS, R. A. F. Applying information retrieval techniques to detect duplicates and to rank references in the preliminary phases of systematic literature reviews. CLEI Electronic Journal, Montevideo, v. 18, n. 2, Aug. 2015.
metadata.artigo.dc.description.abstract: Systematic Literature Review (SLR) is a means to synthesize relevant and high quality studies related to a specific topic or research questions. In the Primary Selection stage of an SLR, the selection of studies is usually performed manually by reading title, abstract, and keywords of each study. In the last years, the number of published scientific studies has grown increasing the effort to perform this sort of reviews. In this paper, we proposed strategies to detect non-papers and duplicated references in results exported by search engines, and strategies to rank the references in decreasing order of importance for an SLR, regarding the terms in the search string. These strategies are based on Information Retrieval techniques. We implemented the strategies and carried out an experimental evaluation of their applicability using two real datasets. As results, the strategy to detect non-papers presented 100% of precision and 50% of recall; the strategy to detect duplicates detected more duplicates than the manual inspection; and one of the strategies to rank relevant references presented 50% of precision and 80% of recall. Therefore, the results show that the proposed strategies can minimize the effort in the Primary Selection stage of an SLR.
metadata.artigo.dc.identifier.uri: repositorio.ufla.br/jspui/handle/1/15596
metadata.artigo.dc.language: pt_BR
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