Spatiotemporal query processing for semantic data stream

Sungkwang Eom; Sangjin Shin; Kyong Ho Lee

doi:10.1109/ICOSC.2015.7050822

Spatiotemporal query processing for semantic data stream

Sungkwang Eom, Sangjin Shin, Kyong Ho Lee

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 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 language	English
Title of host publication	Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015
Editors	Mohan S. Kankanhalli, Tao Li, Wei Wang
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	290-297
Number of pages	8
ISBN (Electronic)	9781479979356
DOIs	https://doi.org/10.1109/ICOSC.2015.7050822
Publication status	Published - 2015 Feb 26
Event	9th IEEE International Conference on Semantic Computing, IEEE ICSC 2015 - Anaheim, United States Duration: 2015 Feb 7 → 2015 Feb 9

Publication series

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

Other

Other	9th IEEE International Conference on Semantic Computing, IEEE ICSC 2015
Country/Territory	United States
City	Anaheim
Period	15/2/7 → 15/2/9

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications
Information Systems
Software

Access to Document

10.1109/ICOSC.2015.7050822

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

Eom, Sungkwang ; Shin, Sangjin ; Lee, Kyong Ho. / Spatiotemporal query processing for semantic data stream. Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015. editor / Mohan S. Kankanhalli ; Tao Li ; Wei Wang. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 290-297 (Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015).

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title = "Spatiotemporal query processing for semantic data stream",

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.",

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Eom, S, Shin, S & Lee, KH 2015, Spatiotemporal query processing for semantic data stream. in MS Kankanhalli, T Li & W Wang (eds), Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015., 7050822, Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 290-297, 9th IEEE International Conference on Semantic Computing, IEEE ICSC 2015, Anaheim, United States, 15/2/7. https://doi.org/10.1109/ICOSC.2015.7050822

Spatiotemporal query processing for semantic data stream. / Eom, Sungkwang; Shin, Sangjin; Lee, Kyong Ho.

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015. ed. / Mohan S. Kankanhalli; Tao Li; Wei Wang. Institute of Electrical and Electronics Engineers Inc., 2015. p. 290-297 7050822 (Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - 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.

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

Spatiotemporal query processing for semantic data stream

Abstract

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