Semantic BMS: Ontology for Analysis of Building Automation Systems Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F16%3A00090418" target="_blank" >RIV/00216224:14330/16:00090418 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-319-31165-4_5" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-31165-4_5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-31165-4_5" target="_blank" >10.1007/978-3-319-31165-4_5</a>
Alternative languages
Result language
angličtina
Original language name
Semantic BMS: Ontology for Analysis of Building Automation Systems Data
Original language description
Building construction has gone through significant change with the emerging spread of ICT during last decades. “Intelligent buildings” are equipped with building automation systems (BAS) that can be remotely controlled and programmed and that are able to communicate and collaborate. However, BAS aim to facilitate operation of the building and do not provide sufficient support for strategic level decision support. This article presents adaptation of Semantic Sensor Network ontology for use in the field of building operation analysis. The Semantic BMS ontology enriches the SSN with model of building automation datapoints that gather operation data and describe the interconnections between BAS devices, algorithms and influenced or monitored properties of a building. Proposed ontology allows facility managers to query BAS systems in a way that is convenient for tactical and strategic level planning and that is unavailable in current state of the art systems.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
DoCEIS 2016: Technological Innovation for Cyber-Physical Systems
ISBN
9783319311647
ISSN
1868-4238
e-ISSN
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Number of pages
8
Pages from-to
46-53
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Costa de Caparica, Portugal
Event date
Apr 11, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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