Application of systematic review with support of data and text mining: the case of the journal Design Studies
DOI:
https://doi.org/10.19132/1808-5245253.156-183Keywords:
Revisão sistemática, Mineração de Dados, Mineração de Textos, Tópicos de Pesquisa, Pesquisa em DesignAbstract
The use of systematic review in academia has shown considerable growth. It has often been used as a form of keyword filtering. However, a large amount of data is collected in this process, from which it is believed that more in-depth relationships can be identified, using data or text mining techniques. This study aims to identify and verify relationships between research topics, considering, as a proof of concept, papers in the journal Design Studies, through the application of Knowledge Discovery in Databases’ techniques. In a quantitative approach with a descriptive scope, a characterization of the sample of 483 articles is presented initially with descriptive statistics, encompassing keywords from metadata. Then, AlchemyAPI is used for automatic extraction of concepts and keywords, and RapidMiner Studio is used for association analysis from metadata and text mining results. It was found a recurrence of themes in Design such as Process, Cognition, Creativity, and Education. It was possible to verify, through the AlchemyAPI tool, concepts that were not expressed in papers’ keywords, which can be considered as a potential for systematic review studies. Thus, it is expected that the techniques applied here may be more explored in research on Design and other areas, as a valid support for systematic reviews of scientific publications.Downloads
References
ACM. ACM DL Digital Library. 2017.
AKOBENG, A. K. Understanding systematic reviews and meta-analysis. Archives of disease in childhood, London, v. 90, p. 845-848, 2005.
ALVAREZ, G. R.; CAREGNATO, S. E. A Ciência da Informação e sua contribuição para a avaliação do conhecimento científico. Biblos: Revista do Instituto de Ciências Humanas e da Informação, Rio Grande, v.31, n.1, p.9-26, jan./jun. 2017.
BATHLA, H; KATHURIA, K. Apriori algorithm and filtered associator in association rule mining. International Journal of Computer Science and Mobile Computing, Secunderabad, v. 4, n. 6, p. 299-306, jun. 2015.
BAYAZIT, N. Investigating design: a review of forty years of design research. Design Issues, Cambridge, v. 20, n. 1, p. 16–29, 2004.
BECCARI, M. Articulação simbólica: uma abordagem junguiana aplicada à filosofia do design. 2012. Dissertação (Mestrado em Design) – Universidade Federal do Paraná, Curitiba, 2012.
BORGES, V. A.; NOGUEIRA, B. M.; BARBOSA, E. F. Uma análise
exploratória de tópicos de pesquisa emergentes em Informática na Educação.
Revista Brasileira de Informática na Educação, Porto Alegre, v. 23, n. 1, p.
-13, mar. 2015.
BUCHANAN, R. Design Research and the New Learning. Design Issues, Cambridge, v. 17, n. 4, p. 3–23, 2001.
CHAI, K.-H.; XIAO, X. Understanding design research: A bibliometric analysis of Design Studies (1996–2010). Design Studies, [s.l.], v. 33, n. 1, p. 24–43, 2012.
CROSS, N. Designerly ways of knowing: design discipline versus design science. Design Issues, Cambridge, v. 17, n. 3, p. 49–55, 2001.
CROSS, N. Editorial: Forty years of design research. Design Studies, [s.l.], v. 28, n. 1, p. 1–4, 2007.
ELSEVIER. CiteScore. c2017a.
ELSEVIER. Design Studies. c2017b. Disponível em: http://www.journals.elsevier.com/design-studies. Acesso em 07 jul. 2017.
FAYYAD, U.M.; PIATETSKY-SHAPIRO, G.; SMYTH, P. Knowledge discovery and data mining: towards a unifying framework. In: INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2., 1996, Portland.. Proceedings […] Portland, Oregon, 1, p. 33-47, 1996.
FRIEDMAN, K. Creating design knowledge: from research into practice. In: IDATER 2000, Proceedings […] Loughborough University, p. 05-32, jun. 2001.
GEMSER, G.; DE BONT, C. Design-related and design-focused research: a study of publication patterns in design journals. She Ji: The Journal of Design, Economics, and Innovation, Shanghai, v. 2, n. 1, p. 46–58, 2016.
GEMSER, G. et al. Quality perceptions of design journals: The design scholars’ perspective. Design Studies, [s.l.], v. 33, n. 1, p. 4–23, 2012.
GOLDSCHMIDT, R.; PASSOS, El. Data mining: um guia prático. Conceitos, técnicas, ferramentas, orientações e aplicações. Rio de Janeiro: Campus, 2005.
HIGGINS, J. P. T.; GREEN, S. (Eds.). Cochrane Handbook for Systematic Reviews of Interventions. Chichester: John Wiley & Sons Ltd., 2008.
HOFMANN, M.; KLINKENBERG, R. RapidMiner: data mining use cases and business analytics application. Chapman & Hall/CRC Data Mining and Knowledge Discovery Series. CRC Press, 25 out. 2013.
IBM. Alchemy documentation. c2017a. Disponível em: https://www.ibm.com/watson/developercloud/doc/index.html. Acesso em 10 jul. 2017.
IBM. Alchemy language. c2017b. Disponível em: https://www.ibm.com/watson/developercloud/alchemy-language.html. Acesso em 05 jul. 2017.
JUSOH S.; ALFAWAREH, H. M. Techniques, applications and challenging issue in text mining. IJCSI International Journal of Computer Science Issues, v. 9, n. 2, p. 431-436, 2012.
LAHLOU, S. Text mining methods: an answer to Chartier and Meunier. Papers on Social Representations, Lisbon, v. 20 n. 38. p. 1-7, 2001.
LAROSE, D. T. Discovering knowledge in data: an introduction to data mining. New Jersey: Wiley, 2005.
LLOYD, P. From Design Methods to Future-Focused Thinking: 50 years of design research. Design Studies, [s.l.], v. 48, p. A1–A8, 2017.
LOVE, T. Philosophy of design: a meta- theoretical structure for design theory. Design Studies, [s.l.], v. 21, n. 3, p. 293–313, 2000.
MALI, M.; ATIQUE, M. Applications of text classification using text mining. International Journal of Engineering Trends and Technology, [s.l.], v. 13, n. 5. p. 209-212, 2014.
MANNING, C. D.; RAGHAVAN, P.; SCHÜTZE, H. Introduction to Information Retrieval. Cambridge: Cambridge University Press. 2009.
OWEN, C. L. Design research: building the knowledge base. Design Studies, [s.l.], v. 19, p. 9-20, 1998.
PETTICREW, M.; ROBERTS, H. (Eds.). Systematic Reviews in the Social Sciences: a practical guide. Padstow: Blackwell Publishing, 2006.
RAPIDMINER. RapidMiner Studio. 2017. Disponível em: http://rapidminer.com/. Acesso em 08 jul. 2017.
RAPIDMINER. Documentation. FP-Growth. 2018. Disponível em: http://rapidminer.com/. Acesso em 19 set. 2018.
RIBEIRO, V. G.; SILVEIRA, S. R.; SILVEIRA, A. L. M. da; ATKINSON, R.; ZABADAL, J. R. S. The use of data mining techniques for defining strategies in scientific communication processes in design journals. Strategic Design Research Journal, Porto Alegre, v. 6, n. 2, p. 85-94, 2013.
RIZZO, G.; TRONCY, R. NERD: Evaluating named entity recognition tools in the web of data. In: WORKSHOP ON WEB SCALE KNOWLEDGE EXTRACTION (WEKEX’11), Bonn, Alemanha. Proceedings […]. Porto Institutional Repository, p. 1-16, out. 2011.
SAMPIERI, R.; COLLADO, C.; LUCIO, M. Metodologia de pesquisa. Porto Alegre: Penso, 2013.
SCOPUS. Design Studies. 2017. Disponível em: https://www.scopus.com/sourceid/36450. Acesso em: jun. 2017
SÉRGIO, M.; SILVA, T.; GONÇALVES, A. Descoberta de conhecimento a partir de informações não estruturadas por meio de técnicas de correlação e associação. Em Questão, Porto Alegre, v. 22, n. 2, p. 87-113, maio/ago. 2016.
SOMASUNDARAM, G.; SHRIVASTAVA, A. Armazenamento e
gerenciamento de informações: como armazenar, gerenciar e proteger
informações digitais. Porto Alegre: Bookman, 2011. 476 p.
TAN, Pang-Ning; STEINBACH, Michael; KUMAR, Vipin. Introduction to Data Mining. Edinburgo: Pearson Addison-Wesley, 2006.
THOMAS, J.; MCNAUGHT, J.; ANANIADOU, S. Applications of text mining within systematic reviews. Research Synthesis Methods, [s.l.], v.2, p.1-14, jan. 2011.
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