Title
How to keep a reference ontology relevant to the industry: A case study from the smart home
Author
Daniele, L.
den Hartog, F.
Roes, J.
Contributor
Dragoni, M. (editor)
Goncalves, R. (editor)
Tamma, V. (editor)
Lawrynowicz, A. (editor)
Publication year
2016
Abstract
The Smart Appliance REFerence ontology (SAREF) is a shared model of consensus developed in close interaction with the industry to enable semantic interoperability for smart appliances. Smart appliances are intelligent and networked devices that accomplish some household functions, such as cleaning or cooking. This paper focuses on specific aspects of SAREF’s development cycle, such as the design principles on which the ontology is based and the stakeholders’ requirements from which certain modelling decisions originated. Moreover, we discuss the work to be done in the immediate future for SAREF to evolve concerning its maintenance, versioning, extension and governance. Open questions include how to guarantee the correct usage of SAREF, how to systematically manage the growth of extensions and specializations of SAREF in a consistent network of ontologies, and who should be responsible for these activities. © Springer International Publishing Switzerland 2016.
Subject
2016 ICT
DSC - Data Science
TS - Technical Sciences
Extension
Governance
Maintenance
Ontologies
Semantic interoperability
Automation
Birds
Intelligent buildings
Interoperability
Maintenance
Ontology
Consistent network
Design Principles
Development cycle
Extension
Governance
Networked devices
Smart appliances
Semantic Web
To reference this document use:
http://resolver.tudelft.nl/uuid:c98f0cc3-6408-4126-8579-fd401ef598d7
DOI
https://doi.org/10.1007/978-3-319-33245-1_12
TNO identifier
535463
Publisher
Springer Verlag
ISBN
9783319332444
ISSN
0302-9743
Source
12th International Experiences and Directions Workshop on OWL, OWLED 2015, co-located with International Semantic Web Conference, ISWC 2015, 9 October 2015 through 10 October 2015, 9557, 117-123
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Bibliographical note
Funding Details: 30-CE-0610154/00-11, EC, European Commission
Document type
conference paper