Proceedings of the 17th International Database Engineering &Amp; Applications Symposium on - IDEAS '13 2013
DOI: 10.1145/2513591.2513655
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On-the-fly generation of multidimensional data cubes for web of things

Abstract: The dynamicity of sensor data sources and publishing realtime 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 contextspecific properties in automatic generation of multidimensional data cubes. The idea is to generate data cubes onthe-fly from syntactic sensor data to sustain de… Show more

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Cited by 10 publications
(6 citation statements)
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“…The Open Linked Data approach for building automation data streams is facilitated by EDWH Ontology proposed in [11]. The aim of the EDWH ontology is to provide a bridge between the SSN ontology and the W3C RDF Data Cube vocabulary, as the data are meant to be analyzed by OLAP data cube techniques.…”
Section: Related Workmentioning
confidence: 99%
“…The Open Linked Data approach for building automation data streams is facilitated by EDWH Ontology proposed in [11]. The aim of the EDWH ontology is to provide a bridge between the SSN ontology and the W3C RDF Data Cube vocabulary, as the data are meant to be analyzed by OLAP data cube techniques.…”
Section: Related Workmentioning
confidence: 99%
“…The Linked Open Data approach for building automation data streams is facilitated by EDWH Ontology proposed in [9]. The aim of the EDWH ontology is to provide bridge between the SSN ontology and the W3C RDF Data Cube vocabulary, as the data are meant to be analyzed by OLAP data cube techniques.…”
Section: Related Workmentioning
confidence: 99%
“…This model is the one used by the paradigm known as OnLine Analytical Processing (OLAP), and graphical 3D interfaces, based on this method, can be created, focused on geographic and spatiotemporal data management systems [22]. Also this type of data modelling (OLAP data cube) has been successfully used to store and query real event data from sensors in smart buildings [23], where parameters such as temperature, humidity, luminescence and related events can be stored in a cubic cell that registers date, device and value related with the considered parameter. Even if OLAP data cubes provide a powerful tool to interact with information, their interfaces rely on 2D representation and traditional input devices, which reduce the level of effective interaction.…”
Section: Previous Workmentioning
confidence: 99%