Paper Info
Title
A unified semantic knowledge base for IoT
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.
Year
DOI
Venue
2014
10.1109/WF-IoT.2014.6803232
Internet of Things
Keywords
Field
DocType
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
Ontology (information science),World Wide Web,Knowledge representation and reasoning,Computer security,Computer science,Interoperability,Knowledge-based systems,Knowledge management,Context model,Knowledge base,Service discovery,Semantics
Conference
Citations 
PageRank 
References 
17
0.80
10
Authors
5
Name
Order
Citations
PageRank
Akshay Uttama Nambi S.n16810.00
Chayan Sarkar27114.26
R. Venkatesha Prasad364977.98
Abdur Rahim Biswas419910.94
Rahim, A.5170.80