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Abstract

Relationship types are another important element in conceptual schemas, because they also play a fundamental role in the memory, informative, and active functions of information systems. Determining the relationship types that are relevant to an information system is one of the most important tasks in conceptual modeling. In this chapter, we study the nature and general characteristics of a relationship type.

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3.4 Bibliographical Notes

  • Batini C, Ceri S, Navathe SB (1992) Conceptual database design: An entity-relationship approach. Benjamin/Cummings.

    Google Scholar 

  • Chen P (1983) English sentence structure and entity-relationship diagrams. Inf. Sci. 29(2–3):127–149.

    Article  Google Scholar 

  • Chen PPS (1976) The Entity-Relationship model: Towards a unified view of data. ACM Trans. Database Syst. 1(1):9–36.

    Article  Google Scholar 

  • Costal D, Olivé A, Sancho M-R (1997) Temporal features of class populations and attributes in conceptual models. ER 1997, LNCS 1331:57–70.

    Google Scholar 

  • Embley DW, Kurtz BD, Woodfield SN (1992) Object-oriented systems analysis. Yourdon Press.

    Google Scholar 

  • Greenspan S, Mylopoulos J, Borgida A. (1994) On formal requirements modeling languages: RML revisited. ICSE 1994, IEEE Computer Society/ACM Press, pp 135–147.

    Google Scholar 

  • Halpin T (2001) Information modeling and relational databases: From conceptual analysis to logical design. Morgan Kaufmann.

    Google Scholar 

  • Hofstede AHM ter, Proper HA, Weide TP van der (1997) Exploiting fact verbalisation in conceptual information modeling. Inf. Syst. 22(6/7):349–385.

    Article  MATH  Google Scholar 

  • Kent W (1978) Data and reality. North-Holland.

    Google Scholar 

  • Martin J, Odell J (1995) Object-oriented methods: A foundation. Prentice Hall.

    Google Scholar 

  • Nijssen GM, Halpin TA (1989) Conceptual schema and relational database design. Prentice Hall.

    Google Scholar 

  • Parsons J, Wand Y (1997) Choosing classes in conceptual modeling. Commun. ACM 40(6):63–69.

    Article  Google Scholar 

  • Rolland C, Proix C (1992) A natural language approach for requirements engineering. CAiSE 1992, LNCS 593:257–277.

    Google Scholar 

  • Rumbaugh J, Jacobson I, Booch G (2005) The Unified Modeling Language reference manual. Addison-Wesley. p. 189

    Google Scholar 

  • Thalheim B (2000) Entity-relationship modeling. Springer.

    Google Scholar 

  • Tsichritzis DC, Lochovsky FH (1982) Data models. Prentice Hall.

    Google Scholar 

  • Wand Y, Storey VC, Weber R (1999) An ontological analysis of the relationship construct in conceptual modeling. ACM Trans. Database Syst. 24(4):494–528.

    Article  Google Scholar 

  • Yourdon (1993) Yourdon systems method: Model-driven systems development. Yourdon Press.

    Google Scholar 

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© 2007 Springer-Verlag Berlin Heidelberg

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(2007). Relationship Types. In: Conceptual Modeling of Information Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39390-0_3

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  • DOI: https://doi.org/10.1007/978-3-540-39390-0_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-39389-4

  • Online ISBN: 978-3-540-39390-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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