A universal ontology for sensor networks data

Mohamad Eid, Ramiro Liscano, Abdulmotaleb El Saddik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present our work towards the development and evaluation of an ontology for searching distributed and heterogeneous sensor networks data. In particular, we propose a two layer prototype ontology that utilizes the IEEE Suggested Upper Merged Ontology (SUMO) as a root definition of general concepts and associations and two sub-ontologies: the sensor data sub-ontology and the sensor hierarchy sub-ontology. The proposed ontology was implemented using Protégé 2000 and eventually evaluated using the RDQL language (RDF Data Query Language). The performance analysis demonstrated the ability of the ontology-based search to improve both the precision and recall rates and enhance the interoperability between different sensor networks domains through the use of the universal SUMO ontology.

Original languageEnglish (US)
Title of host publicationProceedings of the 2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA
Pages59-62
Number of pages4
DOIs
StatePublished - 2007
Event2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA - Ostuni, Italy
Duration: Jun 27 2007Jun 29 2007

Publication series

NameProceedings of the 2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA

Other

Other2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA
CountryItaly
CityOstuni
Period6/27/076/29/07

Keywords

  • IEEE 1451
  • Ontology design
  • SUMO
  • Semantic representation
  • Sensor networks data

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Control and Systems Engineering

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