2014
Semantic Web Technology for Building Information Model
ASFAND-E-YAR, Muhammad, Adam KUČERA a Tomáš PITNERZákladní údaje
Originální název
Semantic Web Technology for Building Information Model
Autoři
ASFAND-E-YAR, Muhammad (586 Pákistán, domácí), Adam KUČERA (203 Česká republika, domácí) a Tomáš PITNER (203 Česká republika, garant, domácí)
Vydání
Neuveden, Proceedings of the 9th International Conference on Software Engineering and Applications, Vienna, Austria, od s. 109-116, 8 s. 2014
Nakladatel
SciTePress
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
10201 Computer sciences, information science, bioinformatics
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
elektronická verze "online"
Odkazy
Kód RIV
RIV/00216224:14330/14:00079984
Organizační jednotka
Fakulta informatiky
ISBN
978-989-758-036-9
Klíčová slova anglicky
Building Information Model;Facility Management;Semantic Web
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 27. 4. 2015 04:57, RNDr. Pavel Šmerk, Ph.D.
Anotace
V originále
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 semantics in building automation, the data is manually handed by facility management, for analysis and decision making. Therefore, such a system is required to integrate such multi-form data of various systems and applications. Hence, Semantic Web technology is proposed in this paper for the data integration. The paper explains development of Semantic Web Model for BIM systems, used at Masaryk University. The model links various systems, which are used for facility management, and is applicable in different environments. The model not only provide base for analysis and decision making for facility management, but also facilitate developers to focus on front-end of application. Hence, the aim is to structure the data for simplifying the queering mechanism used for analysis.