Incorporating spatial queries into semantic sensor streams on the internet of things

Sungkwang Eom, Kyong Ho Lee

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


In the Internet of Things (IoT) environment, the use of sensors and sensor readings is significant in research and industry. The number of sensors is increasing exponentially, adding a tremendous amount of data to the Web. Therefore, the efficient management of sensors and observation data is becoming important. Especially, the location and time of observations are expected to play a vital role in IoT. However, existing researches mainly focus on the temporal properties of data stream. It is necessary to consider the spatial features in addition to the temporal ones. In this article, the authors propose a spatiotemporal query language which integrates spatial and temporal features. Also, they propose an efficient method of building a spatiotemporal index and processing the proposed query language. To evaluate the proposed method, the authors conduct experiments through implementation. The experimental results show that the proposed method deals with spatiotemporal queries within a reasonable time.

Original languageEnglish
Pages (from-to)24-39
Number of pages16
JournalJournal of Database Management
Issue number4
Publication statusPublished - 2017 Oct 1

Bibliographical note

Funding Information:
This work was supported by the ICT R&D program of MSIP/IITP, Republic of Korea. [B0101-17-1276, Access Network Control Techniques for Various IoT Services]. Kyong-Ho Lee is the corresponding author.

Publisher Copyright:
Copyright © 2017, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Hardware and Architecture


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