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Towards Key Principles of Fact Based Thinking

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On the Move to Meaningful Internet Systems: OTM 2018 Workshops (OTM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11231))

Abstract

In this paper, we present ten principles that, in our view, underlie and define the practice and science of ‘Fact Based Thinking’. In itself, Fact Based Thinking underpins Fact Based Modelling (FBM) in all its forms. FBM has been around for decades, and has brought forth a number of meta-models and formalizations. The principles as discussed in this paper focus on Fact Based Thinking rather than on matters of representation and precise semantics, which have been elaborately discussed elsewhere. The principles presented are deliberately worded for broad use and inspirational purposes, rather than worked out in detail. As such, this paper suggests the initialization of further work rather than presenting a final result. The sketch of the principles presented aims to express the basics of Fact Based Thinking in a way that most members of the FBM community can feel at home with.

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Notes

  1. 1.

    See https://en.wikipedia.org/wiki/Extensional_and_intensional_definitions.

  2. 2.

    See https://datavaultusergroup.de/wp-content/uploads/Hannover2017jpzwart.pdf.

References

  1. Nijssen, G.M., Halpin, T.A.: Conceptual Schema and Relational Database Design: A Fact Oriented Approach. Prentice Hall, Englewood Cliffs (1989). ISBN 0-13-167263-0

    Google Scholar 

  2. Halpin, T.A., Morgan, T.: Information Modeling and Relational Databases. Data Management Systems, 2nd edn. Morgan Kaufman (2008). ISBN 978-0-123-73568-3

    Google Scholar 

  3. Zwart, J.P., Engelbart, M., Hoppenbrouwers, S.J.B.A.: Fact Oriented Modeling with FCO-IM: Capturing Business Semantics in Data Models with Fully Communication Oriented Information Modeling. Technics Publications (2015). ISBN 978-1634620864

    Google Scholar 

  4. Proper, H.A., Bleeker, A.I., Hoppenbrouwers, S.J.B.A.: Object-role modelling as a domain modelling approach. In: Grundspenkis, J., Kirikova, M. (eds.) Proceedings of the Workshop on Evaluating Modeling Methods for Systems Analysis and Design (EMMSAD 2004), Held in Conjunction with the 16th Conference on Advanced Information Systems 2004 (CAiSE 2004), Faculty of Computer Science and Information Technology, Riga, Latvia, June 2004, vol. 3, pp. 317–328 (2004). ISBN 9-984-97671-8

    Google Scholar 

  5. Ogden, C.K., Richards, I.A.: The Meaning of Meaning - A Study of the Influence of Language upon Thought and of the Science of Symbolism. Magdalene College, University of Cambridge, Oxford (1923)

    Google Scholar 

  6. ISO/IEC JTC 1/SC 32 Technical Committee on Data management and interchange. Information processing systems - Concepts and Terminology for the Conceptual Schema and the Information Base. Technical report ISO/TR 9007:1987, ISO, 1987

    Google Scholar 

  7. Bowkerm, G.C., Star, S.L.: Sorting Things Out, Classification and its Consequences. MIT Press, Cambridge (1999)

    Google Scholar 

  8. Spyns, P.: Object role modelling for ontology engineering in the DOGMA framework. In: Meersman, R., Tari, Z., Herrero, P. (eds.) OTM 2005. LNCS, vol. 3762, pp. 710–719. Springer, Heidelberg (2005). https://doi.org/10.1007/11575863_90

    Chapter  Google Scholar 

  9. Brinkkemper, S., Saeki, M., Harmsen, A.F.: Meta-modelling based assembly techniques for situational method engineering. Inf. Syst. 24(3), 209–228 (1999). ISSN 0306-4379

    Article  Google Scholar 

  10. Bjeković, M., Proper, H.A., Sottet, J.-S.: Embracing pragmatics. In: Yu, E., Dobbie, G., Jarke, M., Purao, S. (eds.) ER 2014. LNCS, vol. 8824, pp. 431–444. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-12206-9_37

    Chapter  Google Scholar 

  11. Sandkuhl, K., et al.: From expert discipline to common practice: a vision and research agenda for extending the reach of enterprise modeling. Bus. Inf. Syst. Eng. 60(1), 69–80 (2018)

    Article  Google Scholar 

  12. Guizzardi, G.: On ontology, ontologies, conceptualizations, modeling languages, and (meta)models. In: Vasilecas, O., Eder, J., Caplinskas, A. (eds.) Databases and Information Systems IV - Selected Papers from the Seventh International Baltic Conference, DB&IS 2006. Frontiers in Artificial Intelligence and Applications, 3–6 July 2006, Vilnius, Lithuania, vol. 155, pp. 18–39. IOS Press (2006). ISBN 978-1-58603-715-4

    Google Scholar 

  13. Semantics of Business Vocabulary and Rules (SBVR). Technical report dtc/06–03-02, Object Management Group, Needham, Massachusetts, March 2006

    Google Scholar 

  14. Campbell, L.J., Halpin, T.A., Proper, H.A.: Conceptual schemas with abstractions - making flat conceptual schemas more comprehensible. Data Knowl. Eng. 20(1), 39–85 (1996)

    Article  Google Scholar 

  15. ISO/IEC/IEEE. Systems and software engineering - Architecture description is an international standard for architecture descriptions of systems and software. Technical report ISO/IEC 42010, ISO, July 2011

    Google Scholar 

  16. Proper, H.A., Hoppenbrouwers, S.J.B.A., Veldhuijzen van Zanten, G.E.: Communication of enterprise architectures. Enterprise Architecture at Work. TEES, 4th edn, pp. 59–72. Springer, Heidelberg (2017). https://doi.org/10.1007/978-3-662-53933-0_4

    Chapter  Google Scholar 

  17. Creasy, N., Proper, H.A.: A generic model for 3-Dimensional conceptual modelling. Data Knowl. Eng. 20(2), 119–162 (1996)

    Article  Google Scholar 

  18. Halpin, T.A.: A logical analysis of information systems: static aspects of the data-oriented perspective. Ph.D. thesis, University of Queensland, Brisbane, Queensland, Australia (1989)

    Google Scholar 

  19. Van Bommel, P., ter Hofstede, A.H.M., van der Weide, T.: Semantics and verification of object-role models. Inf. Syst. 16(5), 471–495 (1991)

    Article  Google Scholar 

  20. ter Hofstede, A.H.M., Lippe, E., Frederiks, P.J.M.: Conceptual data modeling from a categorical perspective. Comput. J. 39(3), 215–231 (1996)

    Article  Google Scholar 

  21. ter Hofstede, A.H.M., Proper, H.A., van der Weide, T.: Formal definition of a conceptual language for the description and manipulation of information models. Inf. Syst. 18(7), 489–523 (1993)

    Article  Google Scholar 

  22. Bloesch, A.C., Halpin, T.A.: Conceptual queries using ConQuer-II. In: Embley, D.W., Goldstein, R.C. (eds.) ER 1997. LNCS, vol. 1331, pp. 113–126. Springer, Heidelberg (1997). https://doi.org/10.1007/3-540-63699-4_10

    Chapter  Google Scholar 

  23. Meersman, R.: The RIDL conceptual language. Technical report, International Centre for Information Analysis Services, Control Data Belgium, Inc., Brussels, Belgium (1982)

    Google Scholar 

  24. Warmer, J., Kleppe, A.: The Object Constraint Language: Getting Your Models Ready for MDA, 2nd edn. Addison Wesley, Reading (2003). ISBN 0-321-17936-6

    Google Scholar 

  25. Moody, D.L.: The “Physics” of notations: toward a scientific basis for constructing visual notations in software engineering. IEEE Trans. Software Eng. 35(6), 756–779 (2009)

    Article  Google Scholar 

  26. Shannon, C.E., Weaver, W.: The Mathematical Theory of Communication. University of Illinois Press, Chicago (1949)

    MATH  Google Scholar 

  27. Jarrar, M., Meersman, R.: Ontology engineering – the DOGMA approach. In: Dillon, T.S., Chang, E., Meersman, R., Sycara, K. (eds.) Advances in Web Semantics I. LNCS, vol. 4891, pp. 7–34. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-89784-2_2

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. HAN University of Applied Sciences, Arnhem, The Netherlands

    Stijn Hoppenbrouwers

  2. Radboud University, Nijmegen, The Netherlands

    Stijn Hoppenbrouwers

  3. Luxembourg Institute for Science and Technology, Esch-sur-Alzette, Luxembourg

    Henderik A. Proper

  4. University of Luxembourg, Luxembourg, Luxembourg

    Henderik A. Proper

  5. PNA Group, Heerlen, The Netherlands

    Maurice Nijssen

Authors
  1. Stijn Hoppenbrouwers
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  2. Henderik A. Proper
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  3. Maurice Nijssen
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Corresponding author

Correspondence to Stijn Hoppenbrouwers .

Editor information

Editors and Affiliations

  1. Trinity College Dublin, Dublin, Ireland

    Christophe Debruyne

  2. University of Lorraine, Vandoeuvre-les-Nancy, France

    Hervé Panetto

  3. Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg

    Wided Guédria

  4. Maastricht University, Maastricht, The Netherlands

    Peter Bollen

  5. University Babes-Bolyai, Cluj-Napoca, Romania

    Ioana Ciuciu

  6. TU Graz, Graz, Austria

    Robert Meersman

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Hoppenbrouwers, S., Proper, H.A., Nijssen, M. (2019). Towards Key Principles of Fact Based Thinking. In: Debruyne, C., Panetto, H., Guédria, W., Bollen, P., Ciuciu, I., Meersman, R. (eds) On the Move to Meaningful Internet Systems: OTM 2018 Workshops. OTM 2018. Lecture Notes in Computer Science(), vol 11231. Springer, Cham. https://doi.org/10.1007/978-3-030-11683-5_8

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  • DOI: https://doi.org/10.1007/978-3-030-11683-5_8

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