ASFAND-E-YAR, Muhammad, Adam KUČERA and Tomáš PITNER. Smart buildings: Semantic web technology for building information model and building management system. Online. In Data and Software Engineering (ICODSE), 2014 International Conference on. Neuveden: IEEE, 2014, p. 1-6. ISBN 978-1-4799-7996-7. Available from: https://dx.doi.org/10.1109/ICODSE.2014.7062671.
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Basic information
Original name Smart buildings: Semantic web technology for building information model and building management system
Authors ASFAND-E-YAR, Muhammad (586 Pakistan, belonging to the institution), Adam KUČERA (203 Czech Republic, belonging to the institution) and Tomáš PITNER (203 Czech Republic, guarantor, belonging to the institution).
Edition Neuveden, Data and Software Engineering (ICODSE), 2014 International Conference on, p. 1-6, 6 pp. 2014.
Publisher IEEE
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/00216224:14330/14:00079983
Organization unit Faculty of Informatics
ISBN 978-1-4799-7996-7
Doi http://dx.doi.org/10.1109/ICODSE.2014.7062671
UT WoS 000380512000028
Keywords in English Buildings;Data models;Ontologies;Semantics;Spatial databases;Temperature measurement;Temperature sensors
Tags International impact, Reviewed
Changed by Changed by: RNDr. Adam Kučera, Ph.D., učo 255658. Changed: 13/4/2018 15:59.
Abstract
Smart Building is a trend towards the Buildings Automation paradigm. Smart Building aims to autonomously control devices and systems in given environment. These devices and systems are nevertheless supervised by facility management. The facility management normally is aided by heterogeneous systems and applications. Due to multifarious data of the systems, applications, and missing integration of data in building automation, the data is manually collected by facility management, for analysis and decision making. Therefore, such a system is required to integrate the multi-form data of various systems and applications. Hence, Semantic Web technology is proposed in this paper to integrate data and to implement front end. Therefore, Semantic Web technology not only provide base for analysis and decision making for facility management, but also facilitate developers to focus on front-end of application. The aim is to structure the data, where active devices cannot only be located in a building but also identify according to its connected systems and subsystems. This also supports and maintains historical data for future analysis.
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