Ontology-based structuring of conceptual data modeling patterns

Journal of Database Management

Volumn 23, Issue 3, 2012, Pages 50-64

  Laurier, Wim ^a,b,c   Poels, Geert ^a  

^a GHENT UNIVERSITY   (Belgium)

^b UNIVERSITY OF DELAWARE   (United States)

^c FACULTÉS UNIVERSITAIRES SAINT LOUIS   (Belgium)

Author keywords

Abstraction; Conceptual data model; Ontology; Pattern; Ransaction

Indexed keywords

ABSTRACTION; APPLICATION SCENARIO; CONCEPTUAL DATA MODELING; CONCEPTUAL DATA MODELS; FOUNDATIONAL ONTOLOGIES; LEVELS OF ABSTRACTION; PATTERN; RANSACTION;

ABSTRACTING; CONCEPTUAL DESIGN; ONTOLOGY;

INDUSTRY;

EID: 84877911655     PISSN: 10638016     EISSN: 15338010     Source Type: Journal    
DOI: 10.4018/jdm.2012070103     Document Type: Article

References (31)

1. Antony, S., Batra, D., & Santhanam, R. (2005). The use of a knowledge-based system in conceptual data modeling. Decision Support Systems, 41(1), 176-188. doi:10.1016/j.dss.2004.05.011
2. Barbier, F., Henderson-Sellers, B., Le Parc-Lacayrelle, A., & Bruel, J.-M. (2003). Formalization of the whole-part relationship in the unified modeling language. IEEE Transactions on Software Engineering, 29(5), 459-470. doi:10.1109/TSE.2003.1199074
3. Batra, D. (2005). Conceptual data modeling patterns: Representation and validation. Journal of Database Management, 16(2), 84-106. doi:10.4018/jdm. 2005040105
4. Batra, D., & Wishart, N. A. (2004). Comparing a rule-based approach with a pattern-based approach at different levels of complexity of conceptual data modelling tasks. International Journal of Human-Computer Studies, 61(4), 397-419. doi:10.1016/j.ijhcs.2003.12.019
5. Brodie, M. L. (1983). Association: A database abstraction for semantic modelling. In Proceedings of the Second International Conference on the Entity-Relationship Approach to Information Modeling and Analysis.
6. Coad, P., North, D., & Mayfield, M. (1997). Object models: strategies, patterns, and applications (2nd ed.). Upper Saddle River, NJ: Yourdon Press.
7. Dunn, C. L., & McCarthy, W. E. (1997). The REA accounting model: Intellectual heritage and prospects for progress. Journal of Information Systems, 11(1), 31-51.
8. Fowler, M. (1997). Analysis patterns: reusable object models. Menlo Park, CA: Addison Wesley.
9. Gamma, E., Helm, R., Johnson, R., & Vlissides, J. (1995). Design patterns: Elements of reusable object-oriented software. Reading, MA: Addison-Wesley.
10. Geerts, G. L., & McCarthy, W. E. (2002). An ontological analysis of the economic primitives of the extended-REA enterprise information architecture. International Journal of Accounting Information Systems, 3(1), 1-16. doi:10.1016/S1467-0895(01)00020-3
11. Geerts, G. L., & McCarthy, W. E. (2006). Policy-level specifications in REA Enterprise information systems. Journal of Information Systems, 20(2), 37-63. doi:10.2308/jis.2006.20.2.37
12. Guizzardi, G., & Wagner, G. (2005a). Some applications of a unified foundational ontology in business modeling. In Green, P., & Rosemann, M. (Eds.), Business Systems Analysis with Ontologies (p. xv). Hershey, PA: IGI Global. doi:10.4018/978-1-59140-339-5.ch013
13. Guizzardi, G., & Wagner, G. (2005b). Towards ontological foundations for agent modelling concepts using the unified fundational ontology (UFO). In Agent-Oriented [Berlin, Germany: Springer.]. Information Systems, II, 110-124.
14. Hay, D. C. (1996). Data model patterns: Conventions of thought. New York, NY: Dorset House.
15. Hevner, A. R., March, S. T., Jinsoo, P., & Ram, S. (2004). Design science in information systems research. Management Information Systems Quarterly, 28(1), 75-105.
16. Hollander, A. S., Denna, E. L., & Cherrington, J. O. (1999). Accounting, information technology, and business solutions (2nd ed.). Boston, MA: Irwin/McGraw-Hill.
17. Hruby, P. (2006). Model-driven design using business patterns. Berlin, Germany: Springer.
18. ISO/IEC. (2007). Information technology - business operational view Part 4: Business transaction scenario - Accounting and economic ontology. SC, 32.
19. McCarthy, W. E. (1982). The REA accounting model: A generalized framework for accounting systems in a shared data environment. Accounting Review, 57(3), 554-578.
20. Moody, D. L., & Shanks, G. G. (2003). Improving the quality of data models: empirical validation of a quality management framework. Information Systems, 28(6), 619-650. doi:10.1016/S0306-4379(02)00043-1
21. Motschnig-Pitrik, R., & Storey, V. C. (1995). Modelling of set membership: The notion and the issues. Data & Knowledge Engineering, 16, 147-185. doi:10.1016/0169-023X(95)00014-J
22. O'Leary, D. E. (2004). On the relationship between REA and SAP. International Journal of Accounting Information Systems, 5(1), 65-81. doi:10.1016/j.accinf.2004.02.004
23. Odell, J. J. (1998). Advanced object-oriented analysis and design using UML. Cambridge, UK: Cambridge University Press.
24. OMG. (2009). OMG unified modeling language (OMG UML) infrastructure (Version 2.2). Retrieved from www.omg.org
25. Opdahl, A. L., Henderson-Sellers, B., & Barbier, F. (2001). Ontological analysis of whole-part relationships in OO-models. Information and Software Technology, 43(6), 387-399. doi:10.1016/S0950-5849(00)00175-0
26. Poels, G. (2011). Understanding business domain models: The effect of recognizing resource-event-agent conceptual modeling structures. Journal of Database Management, 22(1), 69-101. doi:10.4018/jdm.2011010104
27. Reinhartz-Berger, I., & Sturm, A. (2009). Utilizing domain models for application design and validation. Information and Software Technology, 51(8), 1275-1289. doi:10.1016/j.infsof.2009.03.005
28. Scheer, A.-W. (1998). Business process engineering: reference models for industrial enterprises. Berlin, Germany: Springer.
29. Silverston, L., Inmon, W. H., & Graziano, K. (1997). The data model resource book: a library of logical data models and data warehouse designs. New York, NY: Wiley.
30. Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty - heuristics and biases. Science, 185(4157), 1124-1131. doi:10.1126/science.185. 4157.1124
31. Whitlock, W., Nelson, K., & Papp, R. (2003). Modern database management casebook (6th ed.). Upper Saddle River, NJ: Pearson Education.