Conceptual data modeling patterns: Representation and validation

Journal of Database Management

Volumn 16, Issue 2, 2005, Pages 84-106

  Batra, Dinesh ^a  

^a FLORIDA INTERNATIONAL UNIVERSITY   (United States)

Author keywords

Data classes; Database conceptual design; Entity diagrams; Heuristic development; Unified modeling language

Indexed keywords

ABSTRACTING; COMPUTER PROGRAMMING LANGUAGES; COMPUTER SOFTWARE; DATABASE SYSTEMS; MATHEMATICAL MODELS; PATTERN RECOGNITION;

DATA CLASSES; DATABASE CONCEPTUAL DESIGN; ENTITY DIAGRAMS; HEURISTIC DEVELOPMENT; UNIFIED MODELING LANGUAGE;

DATA STRUCTURES;

EID: 15744385882     PISSN: 10638016     EISSN: None     Source Type: Journal    
DOI: 10.4018/jdm.2005040105     Document Type: Article

References (36)

1. Andersen, J.R. (1985). Cognitive psychology and its implications. New York: W.H. Freeman.
2. Anderson, J.R. (1996). The architecture of cognition. Cambridge, MA: Harvard University Press.
3. Batra, D., & Wishart, N.A. (2004). Comparing a rule-based approach with a pattern-based approach under varying task complexity in conceptual data modeling. International Journal of Human Computer Interaction, 61(4), 397-419.
4. Batra, D., & Zanakis, S.H. (1994). A conceptual database design methodology based on rules and heuristics. European Journal of Information Systems, 3(3), 228-239.
5. Booch, G., Rumbaugh, J., & Jacobson, I. (1999). The unified modeling language user guide. Upper Saddle River, NJ: Prentice Hall.
6. Chen, P.P. (1976). The entity-relationship model: Toward a unified view of data. ACM Transactions on Database Systems, 1(1), 9-36.
7. Chi, M.T.H., Glaser, R., & Farr, M.J. (1988). The nature of expertise. Hillsdale, NJ: Lawrence Erlbaum.
8. Coad, P. (1997). Object models: Strategies, patterns and applications. Upper Saddle River, NJ: Prentice Hall.
9. Codd, E.F. (1970). A relational model of data for large shared banks. Communications of the ACM, 13(6), 377-387.
10. Date, C.J. (1999). An introduction to database systems. Reading, MA: Addison-Wesley.
11. Easton, A., & Easton, G. (1996). Cases for modern systems analysis and design. Reading, MA: Addison-Wesley.
12. Fowler, M. (1997) Analysis patterns: Reusable object models. Reading, MA: Addison-Wesley.
13. Gamma, E., Helm, R., Johnson, R., & Vlissides, J. (1995). Design patterns: Elements of reusable object-oriented software. Reading, MA: AddisonWesley.
14. Gemino, A., & Wand, Y. (2004). Dimensions in experimental evaluation of conceptual modeling techniques. Proceedings of the 3rd Symposium on Systems Analysis and Design Research, St. John's, (pp. 1-20).
15. George, J.F., Batra, D., Valacich J.S., & Hoffer, J.A. (2004). Object-oriented systems analysis and design. Upper Saddle River, NJ: Pearson Prentice Hall.
16. Gray, P., & Watson, H.J. (1998). Decision support in the data warehouse. Upper Saddle River, NJ: Prentice Hall.
17. Greeno, J.G. (1989). Situations, mental models, and generative knowledge. In D. Klahr & K. Kotovsky (Eds.), Complex information processing: The impact of Herbert A. Simon. Hillsdale, NJ: Lawrence Erlbaum.
18. Hay, D.C. (1996). Data model patterns: conventions of thought. Dorset House Publishing Company.
19. th ed.). NJ: Prentice-Hall.
20. Kotovsky, K., & Fallside, D. (1989). Representation and Transfer in Problem Solving. In D. Klahr & K. Kotovsky (Eds.), Complex information processing: The impact of Herbert A. Simon. Hillsdale, NJ: Lawrence Erlbaum.
21. McFadden, F.R., Hoffer, J.A., & Srinivasan, A. (1991). Casebook for database management. Redwood City, CA: Ben jamin Cummings.
22. Metsker, S.J. (2002). Design patterns Java workbook. Reading, MA: Addison-Wesley.
23. Newell, A., & Simon, H. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice Hall.
24. Purao, S., Storey, V., & Han, T. (2003). Improving reuse-based design: Augmenting analysis patterns reuse with learning. Information Systems Research, 14(2), 269-290.
25. Reeves, W.W. (1996). Cognition and complexity: The cognitive science of managing complexity. London: Scarecrow Press.
26. Reynolds, A.G., & Flagg, P.W. (1977). Cognitive psychology. Cambridge, MA: Winthrop Publishers.
27. Rosenberg, D. (1999). Use case driven object modeling with UML. Reading, MA: Addison-Wesley.
28. Rumbaugh, J., Jacobson, I., & Booch, G. (1999). The unified modeling language reference. Reading, MA: Addison-Wesley.
29. Scheer, A.W. (1998). Business process engineering: Reference models for industrial enterprises. New York: Springer-Verlag.
30. Scott, K. (2001). UML explained. Upper Saddle River, NJ: Addison-Wesley.
31. Shah, D., & Slaughter, S. (2001). Data modeling and UML. In K. Siau & T. Halpin (Eds.), Unified modeling language: Systems analysis, design and development issues. Hershey, PA: Idea Group.
32. Siau, K. (2004). Relationship construct in modeling information systems: Identifying relationships based on relational element theory. Journal of Database Management, 15(3), i-v.
33. Silverston, L., Inmon, W.H., & Graziono, K. (1997). The data model resource book: A library of logical data and data warehouse designs. New York: John Wiley & Sons.
34. Smith, J., & Smith, D. (1977) Database abstractions: Aggregation and generalization. ACM Transactions on Database Systems, 2(2), 105-133.
35. Whitlock, W., Nelson, K., & Papp, R. (2003). Modern database management casebook (6th ed.). Upper Saddle River, NJ: Pearson Education.
36. Weber, R. (2003). Conceptual modeling and ontology: Possibility and pitfalls. Journal of Database Management, 14(3), 1-20.