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

Institut für Wirtschaftsinformatik - Data & Knowledge Engineering

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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

Originalsprache	Englisch
Titel	Conceptual Modeling - 34th International Conference, ER 2015, Stockholm, Sweden, October 19-22, 2015, Proceedings
Herausgeber*innen	Óscar Pastor López, Mong Li Lee, Stephen W. Liddle, Paul Johannesson, Andreas L. Opdahl
Verlag	Springer Verlag
Seiten	287-301
Seitenumfang	15
Band	9381
ISBN (Print)	978-3-319-25263-6
DOIs	https://doi.org/10.1007/978-3-319-25264-3_21
Publikationsstatus	Veröffentlicht - Okt. 2015

Publikationsreihe

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

Wissenschaftszweige

102 Informatik
102010 Datenbanksysteme
102015 Informationssysteme
102016 IT-Sicherheit
102025 Verteilte Systeme
102028 Knowledge Engineering
102030 Semantische Technologien
503008 E-Learning

JKU-Schwerpunkte

Computation in Informatics and Mathematics
Management and Innovation

Zugriff auf Dokument

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

Andere Dateien und Links

DKE

Dieses zitieren

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 (Hrsg.), Conceptual Modeling - 34th International Conference, ER 2015, Stockholm, Sweden, October 19-22, 2015, Proceedings (Band 9381, S. 287-301). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 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. Hrsg. / Óscar Pastor López ; Mong Li Lee ; Stephen W. Liddle ; Paul Johannesson ; Andreas L. Opdahl. Band 9381 Springer Verlag, 2015. S. 287-301 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A Conceptual Framework for Large-scale Ecosystem Interoperability",

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",

year = "2015",

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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 (Hrsg.), Conceptual Modeling - 34th International Conference, ER 2015, Stockholm, Sweden, October 19-22, 2015, Proceedings. Bd. 9381, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 9381, Springer Verlag, S. 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. Hrsg. / Óscar Pastor López; Mong Li Lee; Stephen W. Liddle; Paul Johannesson; Andreas L. Opdahl. Band 9381 Springer Verlag, 2015. S. 287-301 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 9381).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - A Conceptual Framework for Large-scale Ecosystem Interoperability

AU - Selway, Matt

AU - Stumptner, Markus

AU - Mayer, Wolfgang

AU - Jordan, Andreas

AU - Grossmann, Georg

AU - Schrefl, Michael

PY - 2015/10

Y1 - 2015/10

N2 - 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

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

UR - http://www.dke.jku.at/research/publications/index.xq

U2 - 10.1007/978-3-319-25264-3_21

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

M3 - Conference proceedings

SN - 978-3-319-25263-6

VL - 9381

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

SP - 287

EP - 301

BT - Conceptual Modeling - 34th International Conference, ER 2015, Stockholm, Sweden, October 19-22, 2015, Proceedings

A2 - López, Óscar Pastor

A2 - Lee, Mong Li

A2 - Liddle, Stephen W.

A2 - Johannesson, Paul

A2 - Opdahl, Andreas L.

PB - Springer Verlag

ER -

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, Hrsg., Conceptual Modeling - 34th International Conference, ER 2015, Stockholm, Sweden, October 19-22, 2015, Proceedings. Band 9381. Springer Verlag. 2015. S. 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