A visual UML-based conceptual model of information-seeking by computer science researchers

Moral Martos, Cristian and Antonio Jiménez, Angélica de and Ferré Grau, Xavier (2017). A visual UML-based conceptual model of information-seeking by computer science researchers. "Information Processing & Management", v. 53 (n. 4); pp. 963-988. ISSN 0306-4573. https://doi.org/10.1016/j.ipm.2016.10.005.

Description

Title: A visual UML-based conceptual model of information-seeking by computer science researchers
Author/s:
  • Moral Martos, Cristian
  • Antonio Jiménez, Angélica de
  • Ferré Grau, Xavier
Item Type: Article
Título de Revista/Publicación: Information Processing & Management
Date: July 2017
ISSN: 0306-4573
Volume: 53
Subjects:
Freetext Keywords: Information-seeking process; Visual conceptual model; Information retrieval; Human-computer interaction; Qualitative study analysis; UML
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The information-seeking process carried out by researchers is complex and full of different variables. We have represented this complexity for computer science researchers in the form of a conceptual model. The model is presented in a visual form using the UML modeling language, since it allows conveying all the complexity present in such a process with greater clarity. It has been obtained after carrying out two qualitative studies ?a focus group and semi-structured interviews? with computer science researchers. The proposed overall model is composed of 4 sub-models: of the documents used in the process, of the tasks undertaken, of the user, and of the information-seeking process context. The conceptual model proposed can serve for the purpose of better understanding the information-seeking process, for example for librarians or for software designers wanting to provide a support to such task. It can also be useful as a framework to characterize different software solutions aimed to information-seeking in research activities, and to compare them.

More information

Item ID: 50950
DC Identifier: http://oa.upm.es/50950/
OAI Identifier: oai:oa.upm.es:50950
DOI: 10.1016/j.ipm.2016.10.005
Official URL: https://www.sciencedirect.com/science/article/pii/S030645731630560X
Deposited by: Memoria Investigacion
Deposited on: 19 Dec 2018 08:42
Last Modified: 04 Apr 2019 12:38
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