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Erschienen in:
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2015 | OriginalPaper | Buchkapitel

Evidence-Based Languages for Conceptual Data Modelling Profiles

verfasst von : Pablo Rubén Fillottrani, C. Maria Keet

Erschienen in: Advances in Databases and Information Systems

Verlag: Springer International Publishing

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Abstract

To improve database system quality as well as runtime use of conceptual models, many logic-based reconstructions of conceptual data modelling languages have been proposed in a myriad of logics. They each cover their features to a greater or lesser extent and are typically motivated from a logic viewpoint. This raises questions such as what would be an evidence-based common core and what is the optimal language profile for a conceptual modelling language family. Based on a common metamodel of UML Class Diagrams (v2.4.1), ER/EER, and ORM/2’s static elements, a set of 101 conceptual models, and availing of computational complexity insights from Description Logics, we specify these profiles. There is no known DL language that matches exactly the features of those profiles and the common core is small (in the tractable \(\mathcal {ALNI}\)). Although hardly any inconsistencies can be derived with the profiles, it is promising for scalable runtime use of conceptual data models.

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Vorheriges Kapitel Web Content Management Systems Archivability
Nächstes Kapitel Ontological Commitments, DL-Lite Logics and Reasoning Tractability
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Metadaten
Titel
Evidence-Based Languages for Conceptual Data Modelling Profiles
verfasst von
Pablo Rubén Fillottrani
C. Maria Keet
Copyright-Jahr
2015
Buch
Advances in Databases and Information Systems

Print ISBN: 978-3-319-23134-1

Electronic ISBN: 978-3-319-23135-8

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-23135-8_15

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