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SEMANTIC IMPLEMENTATION AND PERFORMANCE EVALUATION OF CONTEXT AWARE SERVICES IN AN INDOOR ENVIRONMENT CONTROL SYSTEM

Author(s)
F. Tila Department of Computer Engineering, Jeju National University,South Korea
D.H. Kim Department of Computer Engineering, Jeju National University,South Korea
M.S. Khan Department of Computer Software Engg., University of Engineering & Technology Mardan, Pakistan.
I.A. Khan Department of Computer Science, COMSATS University Islamabad,Abbottabad,Pakistan
M. Humayun Department of Computer Software Engg., University of Engineering & Technology Mardan, Pakistan.
Abstract
This paper focuses on the modelling and development of a semantic sensor service provider and semantic GIS service provider module for a Semantic Internet-of-Things System based on context aggregation and location of an Indoor Environment. Due to the diversity of the large volume of data produced by Internet-of-Things devices, the issue of interoperability rises. Semantic technologies are used in many studies for overcoming issue of interoperability. In this study, we have built ontologies that act as a semantic repository for storing the sensor and location information. To offer sensor data storage services we have designed a semantic sensor service provider module whereas GIS service provider module is designed for storage and provision of an indoor location data. To retrieve this data from the ontologies we have used SPARQL and DotNetRdf API. Pellet based reasoning on the sematic ontologies have been implemented to enable data manipulations using SPARQL. Finally, Performance analysis based on the comparison of SPARQL and SQL based data manipulation has been performed showing that the average execution time for SPARQL based data manipulations is much better than that for SQL based data manipulations.
Publication Details
Page(s) 200-204
DOI DOI not available
Published Journal: Pakistan Journal of Science, Volume: 71, Issue: 4S, Year: 2019

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Keywords
Geographic Information System (GIS), Hyper Text Transfer Protocol (HTTP), Application Programming Interface (API), Structured Query Language (SQL) and Simple Protocol and RDF Query Language (SPARQL)
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