News

IT-Project Data Souvereignty in winter termin 2021/22


Business Intelligence: Washing Gold in Times of Information Overload


See all news.


Campusplan

campusplan_image

You can find us here.




Dual Deep Instantiation and Its ConceptBase Implementation

Authors: B. Neumayr, M. Jeusfeld, M. Schrefl, C. Schütz
Paper: Neum14a (2014)
Citation: Proceedings of the 26th International Conference on Advanced Information Systems Engineering (CAiSE 2014), June 16-20, 2014, Thessaloniki, Greece, Springer Verlag, Lecture Notes in Computer Science (LNCS), Vol. 8484, ISBN 978-3-319-0788-09, pp. 503-517, 2014.
Resources: Copy  (In order to obtain the copy please send an email with subject  Neum14a  to dke.win@jku.at)


Abstract (English): 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. Keywords: Conceptual Data Modeling, Metamodeling, Deep Characterization, Powertypes