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SOMM: Industry Oriented Ontology Management Tool

Abstract:
This paper describes the outcomes of an ongoing collaboration between Siemens and the University of Oxford, with the goal of facilitating the design of ontologies and their deployment in applications. Ontologies are mainly used in Siemens to capture the conceptual information models underpinning a wide range of applications. We start by describing the key role that such models play in two use cases in the manufacturing and energy production sectors. Then, we discuss the formalisation of information models using ontologies, and the relevant reasoning services. Finally, we present SOMM—a tool that supports engineers with little background on semantic technologies in the creation of ontology-based models and in populating them with data. SOMM implements a fragment of OWL 2 RL extended with a form of integrity constraints for data validation, and it comes with support for schema and data reasoning, as well as for model integration. Our evaluation demonstrates the adequacy of SOMM’s functionality and performance for Siemens applications.
Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author


Publisher:
Springer Verlag
Host title:
ISWC2016: 15th International Semantic Web Conference
Journal:
ISWC 2016 More from this journal
Publication date:
2016-09-23
Acceptance date:
2016-07-01


Pubs id:
pubs:635445
UUID:
uuid:0560849c-a653-4a1e-ad99-b93e53c9c38a
Local pid:
info:fedora/pubs:635445
Source identifiers:
635445
Deposit date:
2016-07-27
ARK identifier:

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