On-the-fly generation of multidimensional data cubes for web of things

Muntazir Mehdi; Ratnesh Sahay; Wassim Derguech; Edward Curry

doi:10.1145/2513591.2513655

On-the-fly generation of multidimensional data cubes for web of things

Muntazir Mehdi
, Ratnesh Sahay
, Wassim Derguech
, Edward Curry

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

8 Citations (Scopus)

Abstract

The dynamicity of sensor data sources and publishing real-time sensor data over a generalised infrastructure like the Web pose a new set of integration challenges. Semantic Sensor Networks demand excessive expressivity for efficient formal analysis of sensor data. This article specifically addresses the problem of adapting data model specific or context-specific properties in automatic generation of multidimensional data cubes. The idea is to generate data cubes on-the-fly from syntactic sensor data to sustain decision making, event processing and to publish this data as Linked Open Data.

Original language	English
Title of host publication	Proceedings of the 17th International Database Engineering and Applications Symposium, IDEAS 2013
Pages	28-37
Number of pages	10
DOIs	https://doi.org/10.1145/2513591.2513655
Publication status	Published - 2013
Externally published	Yes
Event	17th International Database Engineering and Applications Symposium, IDEAS 2013 - Barcelona, Spain Duration: 9 Oct 2013 → 13 Oct 2013

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	17th International Database Engineering and Applications Symposium, IDEAS 2013
Country/Territory	Spain
City	Barcelona
Period	9/10/13 → 13/10/13

Keywords

linked open data (LOD)
linked sensor data
multi-dimensional data cubes
web of things (WoT)

Access to Document

10.1145/2513591.2513655

Cite this

@inproceedings{8c3f3568b7544ab4a0ba454a4401c7e9,

title = "On-the-fly generation of multidimensional data cubes for web of things",

abstract = "The dynamicity of sensor data sources and publishing real-time sensor data over a generalised infrastructure like the Web pose a new set of integration challenges. Semantic Sensor Networks demand excessive expressivity for efficient formal analysis of sensor data. This article specifically addresses the problem of adapting data model specific or context-specific properties in automatic generation of multidimensional data cubes. The idea is to generate data cubes on-the-fly from syntactic sensor data to sustain decision making, event processing and to publish this data as Linked Open Data.",

keywords = "linked open data (LOD), linked sensor data, multi-dimensional data cubes, web of things (WoT)",

author = "Muntazir Mehdi and Ratnesh Sahay and Wassim Derguech and Edward Curry",

year = "2013",

doi = "10.1145/2513591.2513655",

language = "English",

isbn = "9781450320252",

series = "ACM International Conference Proceeding Series",

pages = "28--37",

booktitle = "Proceedings of the 17th International Database Engineering and Applications Symposium, IDEAS 2013",

note = "17th International Database Engineering and Applications Symposium, IDEAS 2013 ; Conference date: 09-10-2013 Through 13-10-2013",

}

Mehdi, M, Sahay, R, Derguech, W & Curry, E 2013, On-the-fly generation of multidimensional data cubes for web of things. in Proceedings of the 17th International Database Engineering and Applications Symposium, IDEAS 2013. ACM International Conference Proceeding Series, pp. 28-37, 17th International Database Engineering and Applications Symposium, IDEAS 2013, Barcelona, Spain, 9/10/13. https://doi.org/10.1145/2513591.2513655

On-the-fly generation of multidimensional data cubes for web of things. / Mehdi, Muntazir; Sahay, Ratnesh; Derguech, Wassim et al.
Proceedings of the 17th International Database Engineering and Applications Symposium, IDEAS 2013. 2013. p. 28-37 (ACM International Conference Proceeding Series).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

T1 - On-the-fly generation of multidimensional data cubes for web of things

AU - Mehdi, Muntazir

AU - Sahay, Ratnesh

AU - Derguech, Wassim

AU - Curry, Edward

PY - 2013

Y1 - 2013

N2 - The dynamicity of sensor data sources and publishing real-time sensor data over a generalised infrastructure like the Web pose a new set of integration challenges. Semantic Sensor Networks demand excessive expressivity for efficient formal analysis of sensor data. This article specifically addresses the problem of adapting data model specific or context-specific properties in automatic generation of multidimensional data cubes. The idea is to generate data cubes on-the-fly from syntactic sensor data to sustain decision making, event processing and to publish this data as Linked Open Data.

AB - The dynamicity of sensor data sources and publishing real-time sensor data over a generalised infrastructure like the Web pose a new set of integration challenges. Semantic Sensor Networks demand excessive expressivity for efficient formal analysis of sensor data. This article specifically addresses the problem of adapting data model specific or context-specific properties in automatic generation of multidimensional data cubes. The idea is to generate data cubes on-the-fly from syntactic sensor data to sustain decision making, event processing and to publish this data as Linked Open Data.

KW - linked open data (LOD)

KW - linked sensor data

KW - multi-dimensional data cubes

KW - web of things (WoT)

UR - https://www.scopus.com/pages/publications/84887185296

U2 - 10.1145/2513591.2513655

DO - 10.1145/2513591.2513655

M3 - Conference Publication

AN - SCOPUS:84887185296

SN - 9781450320252

T3 - ACM International Conference Proceeding Series

SP - 28

EP - 37

BT - Proceedings of the 17th International Database Engineering and Applications Symposium, IDEAS 2013

T2 - 17th International Database Engineering and Applications Symposium, IDEAS 2013

Y2 - 9 October 2013 through 13 October 2013

ER -

On-the-fly generation of multidimensional data cubes for web of things

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this