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Representation, Semantic content, Information Content, Information Flow, Schema connection
Representation is a key concept for information systems (IS). IS is designated to provide information. However, the most available information systems such as databases using a computer are actually data storage and management systems because all they handle are data, which may be used to represent information. Therefore, a good understanding on the relationships between data, information and representation is vital for our study of information systems. And yet, it would seem that in the literature of information systems, the notion of representation has not been well studied, and in particular, how a possible representational relationship between two sets of data constructs may be systematically identified and how this representational relation may be explored for bearing on IS problems would seem worth looking at. The results of our investigation show that representation is a special type of signs created or being used by human agents to carry information about other states of affairs. Any representational relationship is realized and underpinned by information flow between components within an information channel. Moreover, representation can be quantitatively measured as long as certain conditions are met. The information content of representation reveals what you could possibly learn from it and the semantic content of representation is the proposition that a human originator intended to convey by using the representation. In addition, schema connections (i.e., connections between elements within a data schema) can be identified by examining the representational relationship between data entities.
Lin Liu, Junkang Feng, "A Semantic Approach to the Notion of Representation and Its Application to Information Systems", International Journal of Information Technology and Computer Science(IJITCS), vol.3, no.5, pp.39-50, 2011. DOI:10.5815/ijitcs.2011.05.06
Barwise, J. and J. Etchemendy (1990a), Information, Infons, and Inference. In R. Cooper, K.Mukai and J. Perry (Eds.). Situation Theory and Its Applications. Stanford, CA: CSLI Publications.
Barwise, J. and J. Perry (1983), Situations and Attitudes, Cambridge, MA: The MIT Press.
Barwise, J. and Seligman, J., Information Flow: The Logic of Distributed Systems,Cambridge University Press, 2008.
Bateson, G., Steps to an Ecology of Mind:Collected Essays in Anthropology, Psychiatry, Evolution and Epistemology, Chicago University Press, 2000.
Cardenas A.F., Data Base Management Systems, 2nd edn, Allyn and Bacon, inc., Boston, 1985.
Checkland, P. and Scholes, J (1990), "Soft Systems Methodology in Action", Wiley Chichester.
Chen, P. P., 1976, The entity-relationship model - Toward a unified view of data. ACM Trans. On Database Syst. 4, 4 (Dec.), pages 397-434.
Codd, E.F. (1970). “A Relational Model of Data for Large Shared Data Banks”, Communications of the ACM, 13(6): 377-387.
Devlin, K., Logic and Information, Cambridge University Press, 1995.
Douglas Raber, John M. Budd, (2003) "Information as sign: semiotics and information science", Journal of Documentation, Vol. 59 Iss: 5, pp.507 – 522
Dretske, F.I., Knowledge and the Flow of Information, Cambridge University Press,1981.
Feng J (2002) Minutes of informal Brain Storming session, Friday 17th May, 2002, 16:00 – 18:20 in F219, in which the term ‘IIR’ was first suggested, University of the West of Scotland, UK.
Feng, J. and Crowe, M. (1999). “The Notion of ‘Classes of a Path’ in ER Schemas”, in Proceedings of Third East European Conference on Advances in Databases and Information Systems, ADBIS’99, Springer.
Floridi, L., “Is semantic information meaningful data?,” Philosophy and Phenomenological Research, vol. 70, 2005, pp.351–370.
Flynn, D., 1998, Information Systems Requirements: Determination &Analysis 2nd ed. London, McGraw-Hill
Grice, H. P., “The philosophical Review, Vol. 66, No. 3 (Jul., 1957)”.
Howe, R., David, ‘Data Analysis For Data Base Design’, Second edition, 1989, Routledge, Chapman and Hall, Inc, New York, ISBN: 0-7131-3688-X.
Lewis, P.J., "Linking soft systems methodology with data-focused information systems development,” Information Systems Journal, vol. 3, 1993, pp. 169-186.
Mingers, J.C., “Information and meaning: foundations for an intersubjective account, Information Systems Journal, vol. 5, 1995, pp.285-306.
Raber, D & Budd, J.M (2003). Information as sign: Semiotics and information science. Journal of Documentation, 59(5), 507–522
Shanks, G., (1999) Semiotic Approach to Understanding Representation in Information Systems. In Proceedings of the Information Systems Foundation Workshop (1999).
Shannon, C. and Weaver, W., The Mathematical Theory of Communication, University of Illinois Press, 1949.
Shimojima, A. (1996). On the Efficacy of Representation. PhD Thesis. The Department of Philosophy, Indiana University.
 Stamper, R., “The semiotic framework for information systems research,” Information systems research: Contemporary approaches and emergent traditions, 1997, pp. 515–527.
Wilson, B. Systems: Concepts, Methodologies and Applications 2nd ed. Chichester, Wiley, 1990.
Xu, Kaibo and J, Feng, 2009, Defining the notion of ‘Information Content’ and reasoning about it in a database, University of the West of Scotland, Jounel Proceedings of the information Systems Foundations Workshop, Ontology, Semiotics and Practice.
Wang, Y. and Feng, J. (2009) ‘No Representation without Information Flow’- Measuring Efficacy and Efficiency of Representation: An Information Theoretic Approach. WSEAS Transaction on Computers, Volume 8 Issue 3, March 2009.