Enabling Query Technologies for the Semantic Sensor Web

Jean-Paul Calbimonte, Hoyoung Jeung, Oscar Corcho and Karl Aberer
Additional contact information
Jean-Paul Calbimonte: Universidad Politécnica de Madrid, Spain
Hoyoung Jeung: SAP Research, Australia
Oscar Corcho: Universidad Politécnica de Madrid, Spain
Karl Aberer: Ecole Polytechnique Fédérale de Lausanne, Switzerland

International Journal on Semantic Web and Information Systems (IJSWIS), 2012, vol. 8, issue 1, 43-63

Abstract: Sensor networks are increasingly being deployed in the environment for many different purposes. The observations that they produce are made available with heterogeneous schemas, vocabularies and data formats, making it difficult to share and reuse this data, for other purposes than those for which they were originally set up. The authors propose an ontology-based approach for providing data access and query capabilities to streaming data sources, allowing users to express their needs at a conceptual level, independent of implementation and language-specific details. In this article, the authors describe the theoretical foundations and technologies that enable exposing semantically enriched sensor metadata, and querying sensor observations through SPARQL extensions, using query rewriting and data translation techniques according to mapping languages, and managing both pull and push delivery modes.

Date: 2012
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