Semantic BMS: Ontology for Analysis of Building Operation Efficiency
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00100626" target="_blank" >RIV/00216224:14330/17:00100626 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-89935-0_29" target="_blank" >http://dx.doi.org/10.1007/978-3-319-89935-0_29</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-89935-0_29" target="_blank" >10.1007/978-3-319-89935-0_29</a>
Alternative languages
Result language
angličtina
Original language name
Semantic BMS: Ontology for Analysis of Building Operation Efficiency
Original language description
Building construction has gone through a 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. However, such systems lack convenient tools for data inspection, making building performance and efficiency analysis demanding on large sites. The paper presents an adaptation of Semantic Sensor Network ontology for use in the field of building operation analysis. The proposed Semantic BMS ontology enriches the SSN with a model of building automation data points and describes relations between BAS and physical properties of a building. Proposed ontology allows facility managers to conveniently query BAS systems, providing decision support for tactical and strategic level planning.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Environmental Software Systems. Computer Science for Environmental Protection.
ISBN
9783319899343
ISSN
1868-4238
e-ISSN
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Number of pages
11
Pages from-to
349-359
Publisher name
Springer
Place of publication
Cham
Event location
Zadar
Event date
Jan 1, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000455046700029