Compartir
Título
Decision support tools for SLR search string construction
Autor(es)
Palabras clave
Applied computing
Library and information science
TECHNOLOGY
Document searching
Information systems
Document filtering
Document analysis
Information systems
Recommender systems
Fecha de publicación
2018
Citación
Marcos-Pablos, S., & García-Peñalvo, F. J. (2018). Decision support tools for SLR search string construction. In F. J. García-Peñalvo (Ed.), Proceedings TEEM’18. Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality (Salamanca, Spain, October 24th-26th, 2018) (pp. 660-667). New York, NY, USA: ACM. doi:10.1145/3284179.3284292
Resumen
Systematic literature reviews (SLRs) have gained popularity during the last years as a form of providing state of the art about previous research. As part of the SLR tasks, devising the search strategy and particularly finding the right keywords to be included in the search string is a difficult and critical step, as it will determine what evidence will be identified in the different searched sources and thus condition the rest of the review. In order to support the search process, this paper presents an iterative methodology for search string construction along with a set of decision support tools that help in building the search string by finding appropriate key terms related to the topic of interest in order to assist the researcher in the SLR conduction.
URI
DOI
10.1145/3284179.3284292
Aparece en las colecciones
- GRIAL. Artículos [470]