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Semiotics in Digital Visualisation

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Enterprise Information Systems (ICEIS 2014)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 227))

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Abstract

Digital visualisation is a way of representing data and information with the aid of digital means, engages human interpretation on information in order to gain insights in a particular context. Digital visualisation is always purposeful that will illustrate relationships; discover patterns and interdependencies; or generate some hypothesis or theory. However, it is still bound to the semantic (interpretation of visual displays and the meaning in the context) and pragmatic (effect and intention to be achieved) issues. These two issues can be addressed by semiotics, a formal doctrine of signs introduced by Peirce back in the 1930s; where digital visualisation is seen as a process of abduction. Abduction is a key process of scientific inquiry, which involves norms. Norms are patterns, regulations, rules and laws which are the reflection of knowledge in a cultural group or an organisation; which has an effect on the human interpretation on information. This paper pioneers a new perspective of digital visualisation by positioning digital visualisation as a process of abduction and proposes the key principles in digital visualisation.

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References

  1. Chen, C.-H., Hrdle, W., Unwin, A.: Handbook of data visualization. Springer-Verlag, Heidelberg (2008)

    MATH  Google Scholar 

  2. Czernicki, B.: Introduction to data visualizations. In: Czernicki, B. (ed.) Next-Generation Business Intelligence Software with Silverlight 3, pp. 127–164. A press, New York (2010)

    Google Scholar 

  3. Robert, S.: Information Visualization - Design for Interaction. Pearson Educated Limited, Essex (2007)

    Google Scholar 

  4. Ware, C.: Information visualization: perception for design. Elsevier, Somerville (2013)

    Google Scholar 

  5. SAS.: SAS Visual Analytics, 28 Feb 2014. http://www.sas.com/en_us/software/business-intelligence/visual-analytics.html

  6. Azzam, T., et al.: Data Visualization and Evaluation. New Dir. Eval. 2013(139), 7–32 (2013)

    Article  Google Scholar 

  7. Tufte, E.R.: Beautiful evidence, vol. 1. Graphics Press, Cheshire (2006)

    Google Scholar 

  8. Chen, M., et al.: Data, information, and knowledge in visualization. IEEE Comput. Graph. Appl. 29(1), 12–19 (2009)

    Article  Google Scholar 

  9. Liu, S., Cui, W., Wu, Y., Liu, M.: A survey on information visualization: recent advances and challenges. Vis. Comput. 1–21 (2014)

    Google Scholar 

  10. Baars, H., Kemper, H.-G.: Management support with structured and unstructured data—an integrated business intelligence framework. Inf. Syst. Manage. 25(2), 132–148 (2008)

    Article  Google Scholar 

  11. Zikopoulos, P., et al.: Harness the Power of Big Data the IBM Big Data Platform. McGraw Hill Professional, New York (2012)

    Google Scholar 

  12. Singhal, A.: An Overview of Data Warehouse, OLAP and Data Mining Technology, In: Data Warehousing and Data Mining Techniques for Cyber Security, pp. 1–23. Springer, New york(2007)

    Google Scholar 

  13. Davenport, T., Merino, M.: State of the Art Practice with Visual Analytics. Harvard Business Review, New York (2013)

    Google Scholar 

  14. Alexandre, D.S., Tavares, J.M.R.: Introduction of human perception in visualization. Int. J. Imaging Robot. 4(10), 45–69 (2010)

    Google Scholar 

  15. Thomas, J.J., Cook, K.A. (eds.): Illuminating the path: The research and development agenda for visual analytics. IEEE Computer Society Press, Los Alamitos (2005)

    Google Scholar 

  16. Peirce, C.S.: Collected Papers of Charles Sanders Peirce: Pragmaticisms and Pragnoaticism, Scientific Metaphysics, vol. 5-6. Belknap Press, Cambridge (1935)

    Google Scholar 

  17. Stamper, R.: Organisational semiotics: Informatics without the computer. In: Liu, K., et al. (eds.) Information, Organisation and Technology: Studies in Organisational Semiotics, pp. 115–171. Kluwer Academic Publishers, Boston (2001)

    Chapter  Google Scholar 

  18. Stamper, R., et al.: Understanding the roles of signs and norms in organizations-a semiotic approach to information systems design. Behav. Inf. Technol. 19(1), 15–27 (2000)

    Article  Google Scholar 

  19. Liu, K.: Semiotics in information systems engineering. Cambridge University Press, Cambridge (2000)

    Book  MATH  Google Scholar 

  20. Stamper, R.: Information systems as a social science. In: Bouissac, P. (ed.) Information System Concepts: An Integrated Discipline Emerging. IFIP — The International Federation for Information Processing, pp. 1–51. Springer, New York (2000)

    Chapter  Google Scholar 

  21. Moriarty, S.E.: Abduction: a theory of visual interpretation. Commun. Theory 6(2), 167–187 (1996)

    Article  Google Scholar 

  22. Wirth, U.: What is abductive inference? In: Bouissac, P. (ed.) Encyclopedia of Semiotics, pp. 1–3. Oxford University Press: Oxford, New York (1998)

    Google Scholar 

  23. Yu, C.H.: Abduction? deduction? induction? is there a logic of exploratory data analysis?. In: Annual Meeting of the American Educational Research Association, ERIC Clearinghouse, New Orleans, LA (1994)

    Google Scholar 

  24. Kovács, G., Spens, K.M.: Abductive reasoning in logistics research. Int. J. Phys. Distrib. Logistics Manage. 35(2), 132–144 (2005)

    Article  Google Scholar 

  25. Thagard, P.: Abductive inference: from philosophical analysis to neural mechanisms. In: Feeney, A., Heit, E. (eds.) Inductive Reasoning: Experimental, developmental, and Computational Approaches, pp. 226–247. Cambridge University Press, Cambridge (2007)

    Google Scholar 

  26. Gregory, R. Muntermann, J.: Theorizing in design science research: inductive versus deductive approaches. In: Thirty Second International Conference on Information Systems (ICIS 2011), Shanghai (2011)

    Google Scholar 

  27. Popper, K.R.: Conjectures and Refutations, vol. 192. Routledge and Kegan Paul, London (1963)

    Google Scholar 

  28. de Souza, C.S.: Semiotic engineering: bringing designers and users together at interaction time. Interact. Comput. 17(3), 317–341 (2005)

    Article  MathSciNet  Google Scholar 

  29. Few, S.: Data visualization for human perception. In: Soegaard, M., Dam, R.F. (eds.) The Encyclopedia of Human-Computer Interaction, 2nd edn, pp. 93–104. The Interaction Design Foundation, Aarhus (2013)

    Google Scholar 

  30. Gibson, J.J.: The Ecological Approach to Visual Perception. Lawrence Erlbaum Associates Inc, Hillsdale (1968)

    Google Scholar 

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Acknowledgements

We would like to thank Dr Huiying Gao, visiting scholar to the Informatics Research Centre of Henley Business School, University of Reading, from School of Management and Economics of Beijing Institute of Technology, for her valuable and insightful comments to this paper.

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Authors and Affiliations

  1. Informatics Research Centre, University of Reading, Whiteknights campus, Reading, RG6 6UD, UK

    Kecheng Liu & Chekfoung Tan

Authors
  1. Kecheng Liu
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  2. Chekfoung Tan
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Corresponding author

Correspondence to Kecheng Liu .

Editor information

Editors and Affiliations

  1. INSTICC, Polytechnic Institute of Setúbal, Setúbal, Portugal

    José Cordeiro

  2. MODESTE/ESEO, Angers, France

    Slimane Hammoudi

  3. Wroclaw University of Economics, Wroclaw, Poland

    Leszek Maciaszek

  4. MODESTE/ESEO, Angers, France

    Olivier Camp

  5. INSTICC, Polytechnic Institute of Setúbal, Setúbal, Portugal

    Joaquim Filipe

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Liu, K., Tan, C. (2015). Semiotics in Digital Visualisation. In: Cordeiro, J., Hammoudi, S., Maciaszek, L., Camp, O., Filipe, J. (eds) Enterprise Information Systems. ICEIS 2014. Lecture Notes in Business Information Processing, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-22348-3_1

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  • DOI: https://doi.org/10.1007/978-3-319-22348-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22347-6

  • Online ISBN: 978-3-319-22348-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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