A Conceptual Framework for Large-scale Ecosystem Interoperability

Matt Selway; Markus Stumptner; Wolfgang Mayer; Andreas Jordan; Georg Grossmann; Michael Schrefl

doi:10.1007/978-3-319-25264-3_21

A Conceptual Framework for Large-scale Ecosystem Interoperability

Matt Selway
, Markus Stumptner
, Wolfgang Mayer
, Andreas Jordan
, Georg Grossmann
, Michael Schrefl

Institute of Business Informatics - Data & Knowledge Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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 that dynamically structure the model and can capture existing multilevel notions. Moreover, it provides a natural propagation of constraints over multiple levels of instantiation. Keywords: Metamodelling, Conceptual models, Multilevel modelling

Original language	English
Title of host publication	Conceptual Modeling - 34th International Conference, ER 2015, Stockholm, Sweden, October 19-22, 2015, Proceedings
Editors	Óscar Pastor López, Mong Li Lee, Stephen W. Liddle, Paul Johannesson, Andreas L. Opdahl
Publisher	Springer Verlag
Pages	287-301
Number of pages	15
Volume	9381
ISBN (Print)	978-3-319-25263-6
DOIs	https://doi.org/10.1007/978-3-319-25264-3_21
Publication status	Published - Oct 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9381
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Fields of science

102 Computer Sciences
102010 Database systems
102015 Information systems
102016 IT security
102025 Distributed systems
102028 Knowledge engineering
102030 Semantic technologies
503008 E-learning

JKU Focus areas

Computation in Informatics and Mathematics
Management and Innovation

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10.1007/978-3-319-25264-3_21

Cite this

Selway, M., Stumptner, M., Mayer, W., Jordan, A., Grossmann, G., & Schrefl, M. (2015). A Conceptual Framework for Large-scale Ecosystem Interoperability. In Ó. P. López, M. L. Lee, S. W. Liddle, P. Johannesson, & A. L. Opdahl (Eds.), Conceptual Modeling - 34th International Conference, ER 2015, Stockholm, Sweden, October 19-22, 2015, Proceedings (Vol. 9381, pp. 287-301). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9381). Springer Verlag. https://doi.org/10.1007/978-3-319-25264-3_21

Selway, Matt ; Stumptner, Markus ; Mayer, Wolfgang et al. / A Conceptual Framework for Large-scale Ecosystem Interoperability. Conceptual Modeling - 34th International Conference, ER 2015, Stockholm, Sweden, October 19-22, 2015, Proceedings. editor / Óscar Pastor López ; Mong Li Lee ; Stephen W. Liddle ; Paul Johannesson ; Andreas L. Opdahl. Vol. 9381 Springer Verlag, 2015. pp. 287-301 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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 that dynamically structure the model and can capture existing multilevel notions. Moreover, it provides a natural propagation of constraints over multiple levels of instantiation. Keywords: Metamodelling, Conceptual models, Multilevel modelling",

author = "Matt Selway and Markus Stumptner and Wolfgang Mayer and Andreas Jordan and Georg Grossmann and Michael Schrefl",

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Selway, M, Stumptner, M, Mayer, W, Jordan, A, Grossmann, G & Schrefl, M 2015, A Conceptual Framework for Large-scale Ecosystem Interoperability. in ÓP López, ML Lee, SW Liddle, P Johannesson & AL Opdahl (eds), Conceptual Modeling - 34th International Conference, ER 2015, Stockholm, Sweden, October 19-22, 2015, Proceedings. vol. 9381, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9381, Springer Verlag, pp. 287-301. https://doi.org/10.1007/978-3-319-25264-3_21

A Conceptual Framework for Large-scale Ecosystem Interoperability. / Selway, Matt; Stumptner, Markus; Mayer, Wolfgang et al.
Conceptual Modeling - 34th International Conference, ER 2015, Stockholm, Sweden, October 19-22, 2015, Proceedings. ed. / Óscar Pastor López; Mong Li Lee; Stephen W. Liddle; Paul Johannesson; Andreas L. Opdahl. Vol. 9381 Springer Verlag, 2015. p. 287-301 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9381).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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AU - Jordan, Andreas

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PY - 2015/10

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AB - 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 that dynamically structure the model and can capture existing multilevel notions. Moreover, it provides a natural propagation of constraints over multiple levels of instantiation. Keywords: Metamodelling, Conceptual models, Multilevel modelling

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Selway M, Stumptner M, Mayer W, Jordan A, Grossmann G, Schrefl M. A Conceptual Framework for Large-scale Ecosystem Interoperability. In López ÓP, Lee ML, Liddle SW, Johannesson P, Opdahl AL, editors, Conceptual Modeling - 34th International Conference, ER 2015, Stockholm, Sweden, October 19-22, 2015, Proceedings. Vol. 9381. Springer Verlag. 2015. p. 287-301. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-25264-3_21

A Conceptual Framework for Large-scale Ecosystem Interoperability

Abstract

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