A conceptual framework for large-scale ecosystem interoperability and industrial product lifecycles
Files
(Published version)
Date
2017
Authors
Selway, M.
Stumptner, M.
Mayer, W.
Jordan, A.
Grossmann, G.
Schrefl, M.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
Data & Knowledge Engineering, 2017; 109:85-111
Statement of Responsibility
Conference Name
Abstract
One of the most significant challenges in information system design is the constant and increasing need to establish interoperability between heterogeneous software systems at increasing scale. The automated translation of data between the data models and languages used by information ecosystems built around official or de facto standards is best addressed using model-driven engineering techniques, but requires handling both data and multiple levels of metadata within a single model. Standard modelling approaches are generally not built for this, compromising modelling outcomes. We establish the SLICER conceptual framework built on multilevel modelling principles and the differentiation of basic semantic relations (such as specialisation, instantiation, specification and categorisation) that dynamically structure the model. Moreover, it provides a natural propagation of constraints over multiple levels of instantiation. The presented framework is novel in its flexibility towards identifying the multilevel structure, the differentiation of relations often combined in other frameworks, and a natural propagation of constraints over multiple levels of instantiation.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright 2017 Elsevier
Access Condition Notes: Postprint available after 1 April 2019