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Structured peer-to-peer-based publication and sharing of ontologies to automatically process SPARQL query on a semantic sensor network

Author

Listed:
  • Huayou Si
  • Yajie Qi
  • Meilian Zheng
  • Yongjian Ren
  • Lifeng Yu

Abstract

In recent years, semantic sensor networks are proposed, which apply ontologies to provide query capabilities and data access and allow users to express their needs at a conceptual level. In such sensor networks, a large amount of web ontologies are separately created by sensors to represent their own knowledge. These ontologies are distributed in different sensors and provide knowledge for semantic queries. It has become a very pressing issue to locate the desired ontologies for a given semantic query. To address this issue, we propose an approach based on structured peer-to-peer protocol to publish shareable ontologies on different sensors and automatically discover the ontologies useful for a given SPARQL query. Therefore, if a SPARQL query is given, our approach can locate ontologies desired and further send the query to them to find out solutions for the query. In addition, if solutions can be found out from a web ontology published, our approach makes sure to discover the ontology and get the solutions from it for the query. We conduct three experiments to evaluate the approach, the results of which demonstrate that our approach is effective and efficient.

Suggested Citation

  • Huayou Si & Yajie Qi & Meilian Zheng & Yongjian Ren & Lifeng Yu, 2018. "Structured peer-to-peer-based publication and sharing of ontologies to automatically process SPARQL query on a semantic sensor network," International Journal of Distributed Sensor Networks, , vol. 14(10), pages 15501477187, October.
  • Handle: RePEc:sae:intdis:v:14:y:2018:i:10:p:1550147718797581
    DOI: 10.1177/1550147718797581
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    References listed on IDEAS

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    1. Jean-Paul Calbimonte & Hoyoung Jeung & Oscar Corcho & Karl Aberer, 2012. "Enabling Query Technologies for the Semantic Sensor Web," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 8(1), pages 43-63, January.
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