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

被引：6

作者：

Moral, Cristian ^{[1
]}

De Antonio, Angelica ^{[1
]}

Ferre, Xavier ^{[1
]}

机构：

[1] Univ Politecn Madrid, Escuela Tecn Super Ingenieros Informat, Campus Montegancedo S-N, E-28660 Madrid, Spain

来源：

INFORMATION PROCESSING & MANAGEMENT | 2017年 / 53卷 / 04期

关键词：

Information-seeking process; Visual conceptual model; Information retrieval; Human-computer interaction; Qualitative study analysis; UML; GENERAL-MODEL; BEHAVIOR; ENGINEERS; SCIENTISTS; PATTERNS; ELLISS; DESIGN; NEEDS;

D O I：

10.1016/j.ipm.2016.10.005

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：963 / 988

页数：26

共 50 条

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