Multilevel Mapping of Ecosystem Descriptions

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

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-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. Beyond individual applications, today’s enterprise applications require automated information exchange across the system lifecycle of information ecosystems—large scale families of software built around official or de facto standards. The automated translation of data between the data models and languages used in these ecosystems is best addressed using model-driven engineering techniques, but requires the handling of both data and multiple levels of metadata within a single model. Standard modelling approaches are generally inconsistent with these requirements, leading to compromised modelling outcomes. In this paper we discuss the use of the SLICER framework built on multilevel modelling principles for transformation purposes. The framework provides natural propagation of constraints over multiple design and instantiation levels that cover different engineering lifecycle phases.We discuss the concept of metamodeling spaces and give an example of a concrete transformation application. Keywords: Metamodelling, Lifecycle models, Interoperability
Original languageEnglish
Title of host publicationOn The Move to Meaningful Internet Systems: OTM 2015 Conferences, Proceedings of the Confederated International Conferences: CoopIS, ODBASE, and C? 2015, Rhodes, Greece, October 26-30, 2015
Editors Christophe Debruyne, Hervé Panetto, Robert Meersman, Tharam Dillon Georg Weichhart, Yuan An, Claudio Agostino Ardagna
PublisherSpringer Verlag
Pages257-266
Number of pages10
Volume9415
ISBN (Print)978-3-319-26147-8
Publication statusPublished - Oct 2015

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
  • 102028 Knowledge engineering
  • 102030 Semantic technologies
  • 503008 E-learning

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Management and Innovation

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