Defining Interaction Design Patterns to Extract Knowledge from Big Data

[EN] The Big Data domain offers valuable opportunities to gain valuable knowledge. The User Interface (UI), the place where the user interacts to extract knowledge from data, must be adapted to address the domain complexities. Designing UIs for Big Data becomes a challenge that involves identifying and designing the user-data interaction implicated in the knowledge extraction. To design such an interaction, one widely used approach is design patterns. Design Patterns describe solutions to common interaction design problems. This paper proposes a set of patterns to design UIs aimed at extracting knowledge from the Big Data systems data conceptual schemas. As a practical example, we apply the patterns to design UI s for the Diagnosis of Genetic Diseases domain since it is a clear case of extracting knowledge from a complex set of genetic data. Our patterns provide valuable design guidelines for Big Data UIs.The authors thank the members of the PROS Center's Genome group for fruitful discussions. In addition, it is also important to highlight that Secretaria Nacional de Educacion, Ciencia y Tecnologia (SENESCYT) and Escuela Politecnica Nacional from Ecuador have supported this work. This project also has the support of Generalitat Valenciana through project IDEO (PROMETEOII/2014/039) and Spanish Ministry of Science and Innovation through project DataME (ref: TIN2016-80811-P).Iñiguez Jarrín, CE.; Panach Navarrete, JI.; Pastor López, O. (2018). Defining Interaction Design Patterns to Extract Knowledge from Big Data. Springer. 490-504. https://doi.org/10.1007/978-3-319-91563-0_30S490504Power, D.J.: ‘Big Data’ decision making use cases. In: Delibašić, B., Hernández, J.E., Papathanasiou, J., Dargam, F., Zaraté, P., Ribeiro, R., Liu, S., Linden, I. (eds.) ICDSST 2015. LNBIP, vol. 216, pp. 1–9. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-18533-0_1Genetic Alliance: Capítulo 2, Diagnóstico de una enfermedad genética (2009). https://www.ncbi.nlm.nih.gov/books/NBK132200/Pabinger, S., et al.: A survey of tools for variant analysis of next-generation genome sequencing data. Brief Bioinform. 15(2), 256–278 (2014). https://doi.org/10.1093/bib/bbs086Borchers, J.O.: Pattern approach to interaction design. In: Proceedings of the Conference on Designing Interactive Systems: Processes, Practices, Methods, and Techniques, DIS 2000, pp. 369–378 (2000)Tidwell, J.: Designing Interfaces, vol. XXXIII, no. 2. O’Reilly Media, Sebastopol (2012)Van Duyne, D.K., Landay, J.A., Hong, J.I.: The Design of Sites: Patterns, Principles, and Processes for Crafting a Customer-Centered Web Experience. Addison-Wesley, Boston (2003)Schmettow, M.: User interaction design patterns for information retrieval. In: EuroPLoP 2006, pp. 489–512 (2006)IBM big data use cases – What is a big data use case and how to get started - Exploration. http://www-01.ibm.com/software/data/bigdata/use-cases.htmlDatamer e-book: Top Five High-Impact Use Cases for Big Data Analytics (2016). https://www.datameer.com/pdf/eBook-Top-Five-High-Impact-UseCases-for-Big-Data-Analytics.pdfBig Data Uses Cases | Pentaho. http://www.pentaho.com/big-data-use-casesHenderson-Sellers, B., Ralyté, J.: Situational method engineering: state-of-the-art review. J. Univers. Comput. Sci. 16(3), 424–478 (2010)Iñiguez-Jarrin, C., García, A., Reyes, J.F., Pastor, O.: GenDomus: interactive and collaboration mechanisms for diagnosing genetic diseases. In: ENASE 2017 - Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering, Porto, Portugal, 28–29 April 2017, pp. 91–102 (2017). https://doi.org/10.5220/0006324000910102Román, J.F.R., López, Ó.P.: Use of GeIS for early diagnosis of alcohol sensitivity. In: Proceedings of the BIOSTEC 2016, pp. 284–289 (2016). https://doi.org/10.5220/0005822902840289Laskowski, N.: Ten big data case studies in a nutshell. http://searchcio.techtarget.com/opinion/Ten-big-data-case-studies-in-a-nutshellMolina, P.J., Meliá, S., Pastor, O.: JUST-UI: a user interface specification model. In: Kolski, C., Vanderdonckt, J. (eds.) Computer-Aided Design of User Interfaces III, pp. 63–74. Springer, Dordrecht (2002). https://doi.org/10.1007/978-94-010-0421-3_