DocumentCode :
132208
Title :
A unified semantic knowledge base for IoT
Author :
Nambi, S. N. Akshay Uttama ; Sarkar, Chayan ; Prasad, R. Venkatesha ; Rahim, Abdul
Author_Institution :
Delft Univ. of Technol., Delft, Netherlands
fYear :
2014
fDate :
6-8 March 2014
Firstpage :
575
Lastpage :
580
Abstract :
In the Internet of Things (IoT), interoperability among heterogeneous entities is an important issue. Semantic modeling is a key catalyst to support interoperability. In this work, we present a unified semantic knowledge base for IoT that uses ontologies as the building blocks. Most of the current ontologies for IoT mainly focus on resources, services and location information. We build upon the current state-of-the-art ontologies to provide contextual information and set of policies to execute services. Our knowledge base consists of several ontologies viz, resource, location, context & domain, policy and service ontologies. This helps in building a unified knowledge representation for IoT entities. In our knowledge base, we specifically model dynamic environments in which IoT entities operate. Our knowledge base also facilitates service-composition, discovery and modeling for IoT in dynamic environments.
Keywords :
Internet of Things; knowledge based systems; ontologies (artificial intelligence); Internet of Things; IoT; context-and-domain ontology; interoperability; knowledge representation; location information; location ontology; ontologies; policy ontology; resource ontology; resources information; semantic modeling; service composition; service discovery; service modeling; service ontology; services information; unified semantic knowledge base; Adaptation models; Context; Context modeling; Internet; Knowledge based systems; Ontologies; Semantics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet of Things (WF-IoT), 2014 IEEE World Forum on
Conference_Location :
Seoul
Type :
conf
DOI :
10.1109/WF-IoT.2014.6803232
Filename :
6803232
Link To Document :
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