{"user_id":"405","citation":{"short":"A. Artikis, R. Marterer, J. Pottebaum, G. Paliouras, in: Proceedings of the 20th European Conference on Artificial Intelligence, {IOS Press}, NLD, 2012, pp. 943–948.","apa":"Artikis, A., Marterer, R., Pottebaum, J., &#38; Paliouras, G. (2012). Event Processing for Intelligent Resource Management. <i>Proceedings of the 20th European Conference on Artificial Intelligence</i>, 943–948.","chicago":"Artikis, Alexander, Robin Marterer, Jens Pottebaum, and Georgios Paliouras. “Event Processing for Intelligent Resource Management.” In <i>Proceedings of the 20th European Conference on Artificial Intelligence</i>, 943–48. ECAI’12. NLD: {IOS Press}, 2012.","bibtex":"@inproceedings{Artikis_Marterer_Pottebaum_Paliouras_2012, place={NLD}, series={ECAI’12}, title={Event Processing for Intelligent Resource Management}, booktitle={Proceedings of the 20th European Conference on Artificial Intelligence}, publisher={{IOS Press}}, author={Artikis, Alexander and Marterer, Robin and Pottebaum, Jens and Paliouras, Georgios}, year={2012}, pages={943–948}, collection={ECAI’12} }","ama":"Artikis A, Marterer R, Pottebaum J, Paliouras G. Event Processing for Intelligent Resource Management. In: <i>Proceedings of the 20th European Conference on Artificial Intelligence</i>. ECAI’12. {IOS Press}; 2012:943-948.","mla":"Artikis, Alexander, et al. “Event Processing for Intelligent Resource Management.” <i>Proceedings of the 20th European Conference on Artificial Intelligence</i>, {IOS Press}, 2012, pp. 943–48.","ieee":"A. Artikis, R. Marterer, J. Pottebaum, and G. Paliouras, “Event Processing for Intelligent Resource Management,” in <i>Proceedings of the 20th European Conference on Artificial Intelligence</i>, 2012, pp. 943–948."},"date_created":"2021-09-09T12:16:00Z","title":"Event Processing for Intelligent Resource Management","_id":"24033","publication_identifier":{"isbn":["9781614990970"]},"quality_controlled":"1","abstract":[{"text":"The need for intelligent resource management (IRM) spans across a multitude of applications. To address this requirement, we present EP-IRM, an event processing system recognising composite events given multiple sources of information in order to support IRM. EP-IRM has been deployed in two real-world applications. Moreover, with a small effort it may be used in a wide range of applications requiring IRM. We present an evaluation of the system, and discuss the lessons learnt during its development and deployment.","lang":"eng"}],"author":[{"full_name":"Artikis, Alexander","last_name":"Artikis","first_name":"Alexander"},{"full_name":"Marterer, Robin","last_name":"Marterer","first_name":"Robin"},{"id":"405","last_name":"Pottebaum","full_name":"Pottebaum, Jens","orcid":"http://orcid.org/0000-0001-8778-2989","first_name":"Jens"},{"full_name":"Paliouras, Georgios","last_name":"Paliouras","first_name":"Georgios"}],"publisher":"{IOS Press}","status":"public","year":"2012","place":"NLD","page":"943-948","date_updated":"2023-11-16T09:32:18Z","type":"conference","publication":"Proceedings of the 20th European Conference on Artificial Intelligence","series_title":"ECAI'12","language":[{"iso":"eng"}]}