by Souleiman Hasan, Edward Curry, Mauricio Banduk, Sean O'Riain
Abstract:
Over the past few years there has been a proliferation in the use of sensors within different applications. The increase in the quantity of sensor data makes it difficult for end users to understand situations within the environments where the sensors are deployed. Thus, there is a need for situation assessment mechanisms upon the sensor networks to assist users to interpret sensor data when making decisions. However, one of the challenges to realize such a mechanism is the need to integrate real-time sensor readings with contextual data sources from legacy systems. This paper tackles the data enrichment problem for sensor data. It builds upon Linked Data principles as a valid basis for a unified enrichment infrastructure and proposes a dynamic enrichment approach that sees enrichment as a process driven by situations of interest. The approach is demonstrated through examples and a proof of concept prototype based on an energy management use case.
Reference:
Souleiman Hasan, Edward Curry, Mauricio Banduk, Sean O'Riain, "Toward situation awareness for the semantic sensor web: Complex event processing with dynamic linked data enrichment", In 4th International Workshop on Semantic Sensor Networks 2011 (SSN11), pp. 69-82, 2011.
Bibtex Entry:
@inproceedings{Hasan2011,
abstract = {Over the past few years there has been a proliferation in the use of sensors within different applications. The increase in the quantity of sensor data makes it difficult for end users to understand situations within the environments where the sensors are deployed. Thus, there is a need for situation assessment mechanisms upon the sensor networks to assist users to interpret sensor data when making decisions. However, one of the challenges to realize such a mechanism is the need to integrate real-time sensor readings with contextual data sources from legacy systems. This paper tackles the data enrichment problem for sensor data. It builds upon Linked Data principles as a valid basis for a unified enrichment infrastructure and proposes a dynamic enrichment approach that sees enrichment as a process driven by situations of interest. The approach is demonstrated through examples and a proof of concept prototype based on an energy management use case.},
author = {Hasan, Souleiman and Curry, Edward and Banduk, Mauricio and O'Riain, Sean},
booktitle = {4th International Workshop on Semantic Sensor Networks 2011 (SSN11)},
issn = {16130073},
keywords = {Complex event processing,Dynamic enrichment,Linked data,Semantic sensor networks,Semantic similarity,Semantic web,Situation awareness,Spreading activation},
pages = {69--82},
title = {{Toward situation awareness for the semantic sensor web: Complex event processing with dynamic linked data enrichment}},
url = {http://www.edwardcurry.org/publications/hasan_CEP_SSNWS_11.pdf},
year = {2011}
}