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Temporal Conceptual Models

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Encyclopedia of Database Systems

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Definition

A conceptual model provides a notation and formalism that can be used to construct a high-level, implementation-independent description of selected aspects of the “real world,” termed a miniworld. This process is called conceptual modeling, and the resulting description is referred to as a conceptual schema. Conceptual modeling is an important part of systems analysis and design. A temporal conceptual model provides a notation and formalism with built-in support for capturing temporal aspects of a miniworld during conceptual design.

Historical Background

Temporal applications need to represent data semantics not only related to “what” is important for the application, but also related to “when” it is important. The history of temporal conceptual models can be viewed in terms of two generations. The first generation temporal conceptual models, e.g., [2,14], provide support for only user-defined time; see Fig. 1a for an example. In contrast to the first generation, the second...

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Recommended Reading

  1. Anderson J.R. and Bower G.H. Human Associative Memory. Washington, D.C.: V. H. Winston & Sons, 1973.

    Google Scholar 

  2. Chen P.P. The entity-relationship model – toward a unified view of data. ACM Trans. Database Syst., 1(1):9–36, 1976.

    Article  Google Scholar 

  3. Elmasri R., Wuu G., and Kouramajian V. A temporal model and query language for EER databases. In Temporal Databases: Theory, Design and Implementation, A. Tansel (ed.). Benjamin/Cummings, Menlo Park, CA, 1993, pp. 212–229.

    Google Scholar 

  4. Ferg S. Modeling the time dimension in an entity-relationship diagram. In Proc. 4th Int. Conf. on Entity-Relationship Approach, 1985, pp. 280–286.

    Google Scholar 

  5. Gregersen H. and Jensen C. Conceptual Modeling of Time-Varying Information. TIMECENTER Technical Report TR-35, September 10, 1998.

    Google Scholar 

  6. Gregersen H. and Jensen C.S. Temporal entity-relationship models-A survey. IEEE Trans. Knowl. Data Eng., 11(3):464–497, 1999.

    Article  Google Scholar 

  7. Hoffman P.J. The paramorphic representation of clinical judgment. Psychol. Bull., 57(2):116–131, 1960.

    Article  Google Scholar 

  8. Jensen C.S., Dyreson C.E., Bohlen M., Clifford J., Elmasri R., Gadia S.K., Grandi F., Hayes P., Jajodia S., Kafer W., Kline N., Lorentzos N., Mitsopoulos Y., Montanari A., Nonen D., Peresi E., Pernici B., Roddick J.F., Sarda N.L., Scalas M.R., Segev A., Snodgrass R.T., Soo M.D., Tansel A., Tiberio R., and Wiederhold G. A consensus glossary of temporal database concepts – February 1998 Version. In Temporal Databases: Research and Practice, O. Etzion, S. Jajodia, and S. Sripada (eds.). Springer Berlin, 1998.

    Google Scholar 

  9. Khatri V., Ram S., and Snodgrass R.T. Augmenting a conceptual model with geospatiotemporal annotations. IEEE Trans. Knowl. Data Eng., 16(11):1324–1338, 2004.

    Article  Google Scholar 

  10. Khatri V., Vessey I., Ram S., and Ramesh V. Cognitive fit between conceptual schemas and internal problem representations: the case of geospatio-temporal conceptual schema comprehension. IEEE Trans. Profession. Commun., 49(2):109–127, 2006.

    Article  Google Scholar 

  11. Klopprogge M.R. TERM: an approach to include the time dimension in the entity relationship model. In Proc. 2nd Int. Conf. on Entity-Relationship Approach, 1981, pp. 473–508.

    Google Scholar 

  12. Moens M. and Steedman M. Temporal ontology and temporal reference. Comput. Linguist., 14(2):15–28, 1988.

    Google Scholar 

  13. Morris C.W. Foundations of the theory of signs. In Int. Encyclopedia of Unified Science, vol. 1, 2nd edn. University of Chicago Press, 1955.

    Google Scholar 

  14. Ram S. Intelligent database design using the unifying semantic model. Inform. Manage., 29(4):191–206, 1995.

    Article  Google Scholar 

  15. Vessey I. Cognitive fit: a theory-based analysis of graphs vs. tables literature, Decision Sci., 22(2):219–240, 1991.

    Google Scholar 

  16. Zimanyi E., Parent C., Spaccapietra S., and Pirotte A. TERC+: a temporal conceptual model. In Proc. Int. Symp. Digital Media Information Base, 1997.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Indiana University, Bloomington, IN, USA

    Vijay Khatri

Authors
  1. Vijay Khatri
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Editor information

Editors and Affiliations

  1. College of Computing, Georgia Institute of Technology, 266 Ferst Drive, 30332-0765, Atlanta, GA, USA

    LING LIU (Professor) (Professor)

  2. Database Research Group David R. Cheriton School of Computer Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada

    M. TAMER ÖZSU (Professor and Director, University Research Chair) (Professor and Director, University Research Chair)

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Khatri, V. (2009). Temporal Conceptual Models. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_390

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