Dual Deep Instantiation and Its ConceptBase Implementation

Bernd Neumayr, Manfred Jeusfeld, Michael Schrefl, Christoph Georg Schütz

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

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
Original languageEnglish
Title of host publicationProceedings of the 26th International Conference on Advanced Information Systems Engineering (CAiSE 2014), June 16-20, 2014, Thessaloniki, Greece
PublisherSpringer Verlag
Pages503-517
Number of pages15
Volume8484
ISBN (Print)978-3-319-0788-09
DOIs
Publication statusPublished - Jun 2014

Publication series

NameLecture Notes in Computer Science (LNCS)

Fields of science

  • 102 Computer Sciences
  • 102010 Database systems
  • 102015 Information systems
  • 102016 IT security
  • 102025 Distributed systems
  • 102027 Web engineering
  • 102028 Knowledge engineering
  • 102030 Semantic technologies
  • 502050 Business informatics
  • 503008 E-learning

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Management and Innovation

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