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Dual Deep Instantiation and Its ConceptBase Implementation
Johannes Kepler University Linz, Austria.
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Information Systems)
Johannes Kepler University Linz, Austria.
Johannes Kepler University Linz, Austria.
2014 (English)In: Advanced Information Systems Engineering: 26th International Conference, CAiSE 2014, Thessaloniki, Greece, June 16-20, 2014, Proceedings / [ed] Jarke, M., Mylopoulos, J., Quix, C., Rolland, C., Manolopoulos, Y., Mouratidis, H., Horkoff, J., Springer Berlin/Heidelberg, 2014, 503-517 p.Conference paper (Refereed)
Abstract [en]

Application integration requires the consideration of instance data and schema data. Instance data in one application may be schema data for another application, which gives rise to multiple instantiation levels. Using deep instantiation, an object may be deeply characterized by representing schema data about objects several instantiation levels below. Deep instantiation still demands a clear separation of instantiation levels: the source and target objects of a relationship must be at the same instantiation level. This separation is inadequate in the context of application integration. Dual deep instantiation (DDI), on the other hand, allows for relationships that connect objects at different instantiation levels. The depth of the characterization may be specified separately for each end of the relationship. In this paper, we present and implement set-theoretic predicates and axioms for the representation of conceptual models with DDI.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2014. 503-517 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 8484
Keyword [en]
Conceptual Data Modeling, Metamodeling, Deep Characterization, Powertypes
National Category
Information Systems
Research subject
URN: urn:nbn:se:his:diva-9380DOI: 10.1007/978-3-319-07881-6_34ISBN: 978-3-319-07880-9OAI: diva2:722627
26th International Conference on Advanced Information Systems Engineering (CAiSE 2014)
Available from: 2014-06-09 Created: 2014-06-09 Last updated: 2014-06-16Bibliographically approved

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