Using Psychology To Understand Conceptual Modelling

There have been a growing number of publications suggesting that philosophical ontologies will define a rigorous basis for conceptual modelling, particularly for data modelling methods and notations. An examination of an underlying psychological assumption of the conceptual modelling process is used to show that philosophical ontologies are being used as a ‘telescope’ to view the products of yet another ‘telescope’ and this undermines their reliability by being too far removed from the actual modelling process. An ontology of conceptual structure, derived through linguistic analysis provides a psychologically realistic alternative to the philosophical ontologies that is as close to its mental interpretation as possible and is a more promising approach to understanding the modelling process.

[1]  John Mingers,et al.  Combining IS Research Methods: Towards a Pluralist Methodology , 2001, Inf. Syst. Res..

[2]  Ron Weber,et al.  On the ontological expressiveness of information systems analysis and design grammars , 1993, Inf. Syst. J..

[3]  Andrew Radford,et al.  Transformational Grammar: A First Course , 1988 .

[4]  Noam Chomsky,et al.  Remarks on Nominalization , 2020, Nominalization.

[5]  Veda C. Storey,et al.  Improving database design through the analysis of relationships , 1999, TODS.

[6]  E. Rosch,et al.  Cognition and Categorization , 1980 .

[7]  Gerd Gigerenzer,et al.  How to Improve Bayesian Reasoning Without Instruction: Frequency Formats , 1995 .

[8]  L. Cosmides The logic of social exchange: Has natural selection shaped how humans reason? Studies with the Wason selection task , 1989, Cognition.

[9]  S. Pinker The Language Instinct , 1994 .

[10]  S. Pinker,et al.  Natural language and natural selection , 1990, Behavioral and Brain Sciences.

[11]  Peter P. Chen The Entity-Relationship Model: Towards a unified view of Data , 1976 .

[12]  Peter P. Chen The entity-relationship model: toward a unified view of data , 1975, VLDB '75.

[13]  S. Pinker How the Mind Works , 1999, Philosophy after Darwin.

[14]  S Hitchman Using DEKAF to understand data modelling in the practitioner domain , 1997 .

[15]  K. Bock,et al.  The Ties That Bind: Creating Number Agreement in Speech , 1999 .

[16]  Eleanor Rosch,et al.  Principles of Categorization , 1978 .

[17]  R. Shepard,et al.  Toward a universal law of generalization for psychological science. , 1987, Science.

[18]  Jay L. Garfield,et al.  Modularity in Knowledge Representation and Natural-Language Understanding , 1987 .

[19]  Veda C. Storey,et al.  An ontological analysis of the relationship construct in conceptual modeling , 1999, TODS.

[20]  Ron Weber,et al.  Ontological foundations of information systems , 1997 .

[21]  Francesco Orilia,et al.  Semantics and Cognition , 1991 .

[22]  J. Fodor The Modularity of mind. An essay on faculty psychology , 1986 .

[23]  Noam Chomsky,et al.  Language and problems of knowledge : the Managua lectures , 1990 .