Limits...
Web-of-Objects (WoO)-based context aware emergency fire management systems for the Internet of Things.

Shamszaman ZU, Ara SS, Chong I, Jeong YK - Sensors (Basel) (2014)

Bottom Line: To handle a fire emergency, we present a decision support tool for the emergency fire management team.The previous fire incident log is the basis of the decision support system.A log repository collects all the emergency fire incident logs from ViOs and stores them in a repository.

View Article: PubMed Central - PubMed

Affiliation: Department of CICE, Hankuk University of Foreign Studies, Yongin-si 449-791, Korea. shamyo@ymail.com.

ABSTRACT
Recent advancements in the Internet of Things (IoT) and the Web of Things (WoT) accompany a smart life where real world objects, including sensing devices, are interconnected with each other. The Web representation of smart objects empowers innovative applications and services for various domains. To accelerate this approach, Web of Objects (WoO) focuses on the implementation aspects of bringing the assorted real world objects to the Web applications. In this paper; we propose an emergency fire management system in the WoO infrastructure. Consequently, we integrate the formation and management of Virtual Objects (ViO) which are derived from real world physical objects and are virtually connected with each other into the semantic ontology model. The charm of using the semantic ontology is that it allows information reusability, extensibility and interoperability, which enable ViOs to uphold orchestration, federation, collaboration and harmonization. Our system is context aware, as it receives contextual environmental information from distributed sensors and detects emergency situations. To handle a fire emergency, we present a decision support tool for the emergency fire management team. The previous fire incident log is the basis of the decision support system. A log repository collects all the emergency fire incident logs from ViOs and stores them in a repository.

No MeSH data available.


Sensors raw data needs to be abstracted in a machine usable form such as Resource Description Framework (RDF).
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC3958250&req=5

f15-sensors-14-02944: Sensors raw data needs to be abstracted in a machine usable form such as Resource Description Framework (RDF).

Mentions: Hence, raw data for RDF creation using the ontology model is divided into four segments as shown in Figure 15: raw data collection from sensors through a database, conversion of raw data to RDF, analysis of raw data, and ensuring access through a graphical user interface (GUI). Environmental raw data is collected from the sensors then converted to RDF format using OWLAPI.


Web-of-Objects (WoO)-based context aware emergency fire management systems for the Internet of Things.

Shamszaman ZU, Ara SS, Chong I, Jeong YK - Sensors (Basel) (2014)

Sensors raw data needs to be abstracted in a machine usable form such as Resource Description Framework (RDF).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3958250&req=5

f15-sensors-14-02944: Sensors raw data needs to be abstracted in a machine usable form such as Resource Description Framework (RDF).
Mentions: Hence, raw data for RDF creation using the ontology model is divided into four segments as shown in Figure 15: raw data collection from sensors through a database, conversion of raw data to RDF, analysis of raw data, and ensuring access through a graphical user interface (GUI). Environmental raw data is collected from the sensors then converted to RDF format using OWLAPI.

Bottom Line: To handle a fire emergency, we present a decision support tool for the emergency fire management team.The previous fire incident log is the basis of the decision support system.A log repository collects all the emergency fire incident logs from ViOs and stores them in a repository.

View Article: PubMed Central - PubMed

Affiliation: Department of CICE, Hankuk University of Foreign Studies, Yongin-si 449-791, Korea. shamyo@ymail.com.

ABSTRACT
Recent advancements in the Internet of Things (IoT) and the Web of Things (WoT) accompany a smart life where real world objects, including sensing devices, are interconnected with each other. The Web representation of smart objects empowers innovative applications and services for various domains. To accelerate this approach, Web of Objects (WoO) focuses on the implementation aspects of bringing the assorted real world objects to the Web applications. In this paper; we propose an emergency fire management system in the WoO infrastructure. Consequently, we integrate the formation and management of Virtual Objects (ViO) which are derived from real world physical objects and are virtually connected with each other into the semantic ontology model. The charm of using the semantic ontology is that it allows information reusability, extensibility and interoperability, which enable ViOs to uphold orchestration, federation, collaboration and harmonization. Our system is context aware, as it receives contextual environmental information from distributed sensors and detects emergency situations. To handle a fire emergency, we present a decision support tool for the emergency fire management team. The previous fire incident log is the basis of the decision support system. A log repository collects all the emergency fire incident logs from ViOs and stores them in a repository.

No MeSH data available.