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CDQL: a generic context representation and querying approach for internet of things applications

Version 2 2024-06-05, 01:26
Version 1 2018-11-12, 17:47
conference contribution
posted on 2024-06-05, 01:26 authored by A Hassani, Arkady ZaslavskyArkady Zaslavsky, PD Haghighi, S Ling, PP Jayaraman, A Medvedev
© 2016 ACM. As the standardization efforts for IoT is fast progressing, we will quickly get to a point where context derived from IoT data and relations will be the underpinning factor to enable interaction between "smart things". Therefore, having a generic approach for describing and querying context is crucial for the future of IoT applications. In this paper, we propose Context Definition and Query Language (CDQL), an advanced approach that enables things to exchange context. CDQL consists of two main parts: Context Definition Model, which is designed to describe the contextual attributes and context related capabilities of each "thing"; and Context Query Language (CQL), which is a flexible query language to express contextual information requirements without considering details of the underlying data structure. We exemplify the usage of the proposed CDQL, via a smart city use case study that highlight how CDQL can be utilized to deliver context information to IoT applications.

History

Pagination

79-88

Location

Singapore

Start date

2016-11-28

End date

2016-11-30

ISBN-13

9781450348065

Language

eng

Publication classification

E Conference publication, E1.1 Full written paper - refereed

Copyright notice

2016, ACM

Title of proceedings

MoMM '16 : Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media

Event

Advances in Mobile Computing and Multi Media. International Conference (14th : 2016 : Singapore)

Publisher

ACM

Place of publication

New York, N.Y.

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