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dc.contributor.authorSun, Y
dc.contributor.authorWang, Z
dc.contributor.authorWang, K
dc.date.accessioned2020-03-23T03:49:56Z
dc.date.available2020-03-23T03:49:56Z
dc.date.issued2019
dc.identifier.issn1613-0073
dc.identifier.urihttp://hdl.handle.net/10072/392550
dc.description.abstractEvent detection systems can help detecting incidents of interest that occur within data streams generated by interconnected sensor devices. Corresponding personnel need to be notified about the incidents so that appropriate actions can be taken to address them. One of the typical use cases of event detection systems is monitoring the quality of recycling water during wastewater treatment. Existing event detection systems in this domain usually focus on dealing with low level primitive events and thus are not capable of detecting more complex events which contain relations and background knowledge. In this paper, we present a framework for detecting complex events with background knowledge in event streams, by using ontology and query rewriting techniques.
dc.description.peerreviewedYes
dc.publisherRheinisch-Westfaelische Technische Hochschule Aachen
dc.publisher.urihttp://ceur-ws.org/Vol-2456/
dc.relation.ispartofconferencename18th International Semantic Web Conference (ISWC 2019)
dc.relation.ispartofconferencetitleCEUR Workshop Proceedings
dc.relation.ispartofdatefrom2019-10-26
dc.relation.ispartofdateto2019-10-30
dc.relation.ispartoflocationAuckland, New Zealand
dc.relation.ispartofpagefrom97
dc.relation.ispartofpageto100
dc.relation.ispartofvolume2456
dc.subject.fieldofresearchArtificial Intelligence and Image Processing
dc.subject.fieldofresearchcode0801
dc.titleOntology-based event detection for wastewater treatment
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationSun, Y; Wang, Z; Wang, K, Ontology-based event detection for wastewater treatment, CEUR Workshop Proceedings, 2019, 2456, pp. 97-100
dcterms.licensehttps://creativecommons.org/licenses/by/4.0/
dc.date.updated2020-03-23T03:45:34Z
dc.description.versionPublished
gro.rights.copyright© The Author(s) 2019. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorWang, Zhe
gro.griffith.authorWang, Kewen
gro.griffith.authorSun, Yi


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