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dc.contributor.authorBaader, Franz
dc.contributor.authorBorgwardt, Stefan
dc.contributor.authorKoopmann, Patrick
dc.contributor.authorThost, Veronika
dc.contributor.authorTurhan, Anni-Yasmin
dc.date.accessioned2021-09-20T17:30:30Z
dc.date.available2021-09-20T17:30:30Z
dc.date.issued2020-11-03
dc.identifier.urihttps://hdl.handle.net/1721.1/131831
dc.description.abstractAbstract The project “Semantic Technologies for Situation Awareness” was concerned with detecting certain critical situations from data obtained by observing a complex hard- and software system, in order to trigger actions that allow this system to save energy. The general idea was to formalize situations as ontology-mediated queries, but in order to express the relevant situations, both the employed ontology language and the query language had to be extended. In this paper we sketch the general approach and then concentrate on reporting the formal results obtained for reasoning in these extensions, but do not describe the application that triggered these extensions in detail.en_US
dc.publisherSpringer Berlin Heidelbergen_US
dc.relation.isversionofhttps://doi.org/10.1007/s13218-020-00694-3en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceSpringer Berlin Heidelbergen_US
dc.titleSemantic Technologies for Situation Awarenessen_US
dc.typeArticleen_US
dc.contributor.departmentMIT-IBM Watson AI Lab
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-11-08T07:34:45Z
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dspace.embargo.termsN
dspace.date.submission2020-11-08T07:34:45Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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