Semantic interoperability in the oil and gas industry: a challenging testbed for semantic technologies
Date
2013
Authors
Mayer, W.
Stumptner, M.
Grossmann, G.
Jordan, A.
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Conference paper
Citation
2013 AAAI fall symposium series: semantics for big data: AAAI technical report FS-13-04, 2013, vol.FS-13-04, pp.40-43
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Semantics for big data: papers from the AAAI symposium (15 Nov 2013 - 17 Nov 2013 : Arlington, Virginia)
Abstract
This paper outlines some of the inherent difficulties present in large-scale standards-based semantic interoperability in the Oil and Gas industry. This domain in particularly interesting for semantic interoperability, as the complexity is manifold: data sets are large, span many different domains, are modeled and represented differently in various standards, which have evolved considerably over time. We outline the main challenges with respect to sustained interoperability and advocate that the interoperability scenarios could serve as an interesting test bed for evaluating semantic interoperability techniques.
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Copyright 2013 Association for the Advancement of Artificial Intelligence