Essential, Mandatory, and Shared Parts in Conceptual Data Models

Essential, Mandatory, and Shared Parts in Conceptual Data Models

Alessandro Artale (Free University of Bozen-Bolzano, Italy) and C. Maria Keet (Free University of Bozen-Bolzano, Italy)
DOI: 10.4018/978-1-60566-278-7.ch002
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This chapter focuses on formally representing life cycle semantics of part-whole relations in conceptual data models by utilizing the temporal modality. The authors approach this by resorting to the temporal conceptual data modeling language ERVT and extend it with the novel notion of status relations. This enables a precise axiomatization of the constraints for essential parts and wholes compared to mandatory parts and wholes, as well as introduction of temporally suspended part-whole relations. To facilitate usage in the conceptual stage, a set of closed questions and decision diagram are proposed. The longterm objectives are to ascertain which type of shareability and which lifetime aspects are possible for part-whole relations, investigate the formal semantics for sharability, and how to model these kind of differences in conceptual data models.
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Modeling part-whole relations and aggregations has been investigated and experimented with from various perspectives and this has resulted in advances and better problem identification to a greater or lesser extent, depending on the conceptual modeling language (Artale et al., 1996a; Barbier et al., 2003; Bittner & Donnelly, 2005; Borgo & Masolo, 2007; Gerstl & Pribbenow, 1995; Guizzardi, 2005; Keet, 2006b; Keet & Artale, 2008; Motschnig-Pitrik & Kaasbøll, 1999; Odell, 1998; Sattler, 1995). Nowadays, part-whole relations receive great attention both in conceptual modeling community (e.g., the Unified Modeling Language, UML, the Extended Entity Relationship, EER, and the Object-Role Modeling, ORM) as well as in the semantic web community (e.g. the Description Logic based language OWL).

Several issues, such as transitivity and types of part-whole relations, are being addressed successfully with converging approaches from an ontological, logical, and/or linguistic perspectives (Borgo & Masolo, 2007; Keet & Artale, 2008; Varzi, 2004; Vieu & Aurnague, 2005). On the other hand, other topics, such as horizontal relations among parts and life cycle semantics of parts and wholes, still remain an open research area with alternative and complimentary approaches (Bittner & Donnelly, 2007; Guizzardi, 2005; Motschnig-Pitrik & Kaasbøll, 1999). For instance, how to model differences between an Information System for, say, a computer spare parts inventory compared to one for transplant organs? Indeed, organs are at the time before transplantation not on the shelf as are independently existing computer spare parts, but these organs are part of another whole and can only be part of another whole sequentially. For a university events database, one may wish to model that a seminar can be part of both a seminar series and a course, concurrently. Another long-standing issue is how to represent essential versus mandatory parts and wholes (Artale et al., 1996a). The solution proposed in Guizzardi (2005) as an extension to UML class diagrams is not easily transferable to other modelling/representation languages.

In this chapter we study representation problems related to the notion of sharability between parts and wholes. In particular, we are interested in representing that parts (i) cannot be shared by more than one whole; (ii) cannot exist without being part of the whole; (iii) can swap wholes in different ways. Clearly, these rich variations in shareability of parts cannot be represented in any of the common, industry-grade, UML class diagram, EER, or ORM CASE tools. In order to reach such a goal, we take a fist step by aiming to answer these main questions:

  • Which type of sharability and which lifetime aspects are possible?

  • What is the formal semantics for sharability?

  • How to model these kind of differences in a conceptual data model?

To address these questions, we merge and extend advances in representing part-whole relations as in UML class diagrams with formal conceptual data modeling for temporal databases (temporal EER) and ORM’s usability features. The various shareability constraints are reworded into a set of modeling guidelines in the form of closed questions and a decision diagram to enable easy navigation to the appropriate sharability case so as to facilitate its eventual integration in generic modeling methodologies.

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Editorial Advisory Board
Table of Contents
Chapter 1
Terry Halpin
When modeling information systems, one often encounters subtyping aspects of the business domain that can prove challenging to implement in either... Sample PDF
Enriched Conceptualization of Subtyping
Chapter 2
Alessandro Artale, C. Maria Keet
This chapter focuses on formally representing life cycle semantics of part-whole relations in conceptual data models by utilizing the temporal... Sample PDF
Essential, Mandatory, and Shared Parts in Conceptual Data Models
Chapter 3
Peter Bollen
In this chapter the authors extend the ORM conceptual modeling language with constructs for capturing the relevant parts of an application ontology... Sample PDF
Extending the ORM Conceptual Schema Language and Design Procedure with Modeling Constructs for Capturing the Domain Ontology
Chapter 4
Janis Stirna, Anne Persson
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EKD: An Enterprise Modeling Approach to Support Creativity and Quality in Information Systems and Business Development
Chapter 5
Anders Carstensen, Lennart Holmberg, Kurt Sandkuhl, Janis Stirna
This chapter discusses how an Enterprise Modeling approach, namely C3S3P1, has been applied in an automotive supplier company. The chapter... Sample PDF
Integrated Requirement and Solution Modeling: An Approach Based on Enterprise Models
Chapter 6
John Krogstie, Frank Lillehagen
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Methodologies for Active Knowledge Modeling
Chapter 7
Peretz Shoval, Mark Last, Avihai Yampolsky
In the analysis phase of the information system development, the user requirements are studied, and analysis models are created. In most UML-based... Sample PDF
Data Modeling and Functional Modeling: Examining the Preferred Order of Using UML Class Diagrams and Use Cases
Chapter 8
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OntoFrame: An Ontological Framework for Method Engineering
Chapter 9
Patrick van Bommel, Stijn Hoppenbrouwers, Erik Proper, Jeroen Roelofs
A process-oriented framework (QoMo) is presented that aims to further the study of analysis and support of processes for modeling. The framework is... Sample PDF
Concepts and Strategies for Quality of Modeling
Chapter 10
John Erickson, Keng Siau
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Service Oriented Architecture: A Research Review from the Software and Applications Perspective
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Designing Web Information Systems for a Framework-Based Construction
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Tony Elliman, Tally Hatzakis, Alan Serrano
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Leandro Dias da Silva, Elthon Allex da Silva Oliveira, Hyggo Almeida, Angelo Perkusich
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An Agent Based Formal Approach for Modeling and Verifying Integrated Intelligent Information Systems
Chapter 14
Jan vom Brocke
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Design Principles for Reference Modelling: Reusing Information Models by Means of Aggregation, Specialisation, Instantiation and Analogy
Chapter 15
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Information systems development methodologies and associated CASE tools have been considered as cornerstones for building quality in an information... Sample PDF
Examining the Quality of Evaluation Frameworks and Metamodeling Paradigms of Information Systems Development Methodologies
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