Spatiotemporal query processing for semantic data stream

Sungkwang Eom, Sangjin Shin, Kyong Ho Lee

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

7 Citations (Scopus)

Abstract

In this paper, we propose a method for processing spatiotemporal queries on semantic data streams generated from diverse sensors. On the Internet of Things (IoT) environment, the number of mobile sensors greatly increases and their locations are becoming more important. IoT services may not be fully supported when only considering the temporal feature of streaming data. Accordingly, stream processing should be performed with consideration into both temporal and spatial factors. However, existing researches have a limitation of processing spatial queries since they focus on the temporal processing of streaming data. To support spatiotemporal query processing on semantic data streams, we propose a query language, which integrates temporal and geospatial properties. Specifically, we construct a spatiotemporal index to process the proposed spatiotemporal query language efficiently. The experimental results with a prototype implementation show that the proposed method processes spatiotemporal queries in an acceptable time.

Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015
EditorsMohan S. Kankanhalli, Tao Li, Wei Wang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages290-297
Number of pages8
ISBN (Electronic)9781479979356
DOIs
Publication statusPublished - 2015 Feb 26
Event9th IEEE International Conference on Semantic Computing, IEEE ICSC 2015 - Anaheim, United States
Duration: 2015 Feb 72015 Feb 9

Publication series

NameProceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015

Other

Other9th IEEE International Conference on Semantic Computing, IEEE ICSC 2015
CountryUnited States
CityAnaheim
Period15/2/715/2/9

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Software

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  • Cite this

    Eom, S., Shin, S., & Lee, K. H. (2015). Spatiotemporal query processing for semantic data stream. In M. S. Kankanhalli, T. Li, & W. Wang (Eds.), Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015 (pp. 290-297). [7050822] (Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOSC.2015.7050822