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

Edward Curry

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

Computer Science

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

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 (Ireland)
Title of host publication	17th International Database Engineering Applications Symposium 2013
Publication status	Published - 1 Jan 2013

Authors (Note for portal: view the doc link for the full list of authors)

Authors
Mehdi, Muntazir;Sahay, Ratnesh;Derguech, Wassim;Curry, Edward

Cite this

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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.",

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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.

M3 - Conference Publication

BT - 17th International Database Engineering Applications Symposium 2013

ER -

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

Abstract

Authors (Note for portal: view the doc link for the full list of authors)

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Cite this