Metamodel-based information integration at industrial scale

Authors:
Stefan Berger;Georg Grossmann;Markus Stumptner;Michael Schrefl
Affiliations:
University of South Australia, Advanced Computing Research Centre, Adelaide, Australia;University of South Australia, Advanced Computing Research Centre, Adelaide, Australia;University of South Australia, Advanced Computing Research Centre, Adelaide, Australia;University of South Australia, Advanced Computing Research Centre, Adelaide, Australia
Venue:
MODELS'10 Proceedings of the 13th international conference on Model driven engineering languages and systems: Part II
Year:
2010

Citing 9
Cited 1

A survey of approaches to automatic schema matching

The VLDB Journal — The International Journal on Very Large Data Bases
Literature review of spatio-temporal database models

The Knowledge Engineering Review
Against Idiosyncrasy in Ontology Development

Proceedings of the 2006 conference on Formal Ontology in Information Systems: Proceedings of the Fourth International Conference (FOIS 2006)
Executable Domain Specific Language for Message-Based System Integration

MODELS '09 Proceedings of the 12th International Conference on Model Driven Engineering Languages and Systems
Schema AND Data: A Holistic Approach to Mapping, Resolution and Fusion in Information Integration

ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
A Generative Framework for Service Process Composition

ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Concept and pragmatics of an intuitive visualization-oriented metamodeling tool

Journal of Visual Languages and Computing
A semantic transformation approach for ISO 15926

CoMoGIS'06 Proceedings of the 2006 international conference on Advances in Conceptual Modeling: theory and practice
Behavior based integration of composite business processes

BPM'05 Proceedings of the 3rd international conference on Business Process Management

A geographic standards based metamodel to formalize spatio-temporal knowledge in remote sensing applications

ER'12 Proceedings of the 2012 international conference on Advances in Conceptual Modeling

Quantified Score

Hi-index	0.00

Visualization

Abstract

Flexible data integration has been an important IT research goal for decades. About ten years ago, a significant step was taken with the introduction of declarative methods (e.g., Clio). Since this work, mostly based on classic dependency analysis, extensions have been developed that express more powerful semantic relationships. However, much of this work has remained focused at the relational database (i.e., relatively low) level, and many of the extensions revert to specific algorithms and function specifications. At the same time, models have evolved to incorporate more powerful semantics (object or ontology-based methods). The work presented in the paper uses flexible metamodel-based mapping definitions that enable a model-driven engineering approach to integration, allowing declarative mapping specifications to be automatically executed at runtime within a single-formalism and single-tool framework. The paper reports how to create executable mappings for large-scale data integration scenarios with an interactive graphical tool.