Description logics and rules for multimodal situational awareness in healthcare

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• dc.contributor.author Meditskos, Georgiosca
• dc.contributor.author Vrochidis, Stefanosca
• dc.contributor.author Kompatsiaris, Ioannisca
• dc.date.accessioned 2017-05-25T17:06:08Z
• dc.date.available 2017-05-25T17:06:08Z
• dc.date.issued 2017
• dc.description Comunicació presentada a: Video Browser Showdown (VBS'17) dins 23rd International Conference on MultiMedia Modeling (MMM'17); celebrats el 4 de gener de 2017 a Reykjavik, Islàndia.ca
• dc.description.abstract We present a framework for semantic situation understand- ing and interpretation of multimodal data using Description Logics (DL) and rules. More precisely, we use DL models to formally describe contex- tualised dependencies among verbal and non-verbal descriptors in multi- modal natural language interfaces, while context aggregation, fusion and interpretation is supported by SPARQL rules. Both background knowl- edge and multimodal data, e.g. language analysis results, facial expres- sions and gestures recognized from multimedia streams, are captured in terms of OWL 2 ontology axioms, the de facto standard formalism of DL models on the Web, fostering reusability, adaptability and interoperabil- ity of the framework. The framework has been applied in the eminent eld of healthcare, providing the models for the semantic enrichment and fusion of verbal and non-verbal descriptors in dialogue-based systems.en
• dc.description.sponsorship This work has been partially supported by the H2020- 645012 project \KRISTINA: A Knowledge-Based Information Agent with Social Competence and Human Interaction Capabilities".en
• dc.format.mimetype application/pdfca
• dc.identifier.citation Meditskos G, Vrochidis S, Kompatsiaris I. Description logics and rules for multimodal situational awareness in healthcare. In: Amsaleg L, Guðmundsson G, Gurrin C, Jónsson B, Satoh S, editors. Proceedings of Video Browser Showdown (VBS'17) at the 23rd International Conference on MultiMedia Modeling (MMM'17); 2017 4 Jan; Reykjavik, Iceland, Part II. [place unknonwn]: Springer, 2017. (LNCS, no. 10133). p. 714–25. DOI: 10.1007/978-3-319-51811-4_58
• dc.identifier.doi http://dx.doi.org/10.1007/978-3-319-51811-4_58
• dc.identifier.issn 0302-9743
• dc.identifier.uri http://hdl.handle.net/10230/32163
• dc.language.iso eng
• dc.publisher Springerca
• dc.relation.ispartof Amsaleg L, Guðmundsson G, Gurrin C, Jónsson B, Satoh S, editors. Proceedings of Video Browser Showdown (VBS'17) at the 23rd International Conference on MultiMedia Modeling (MMM'17); 2017 4 Jan; Reykjavik, Iceland, Part II. [place unknonwn]: Springer, 2017. (LNCS, no. 10133). p. 714–25.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/645012
• dc.rights © Springer The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-51811-4_58
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Multimodal dataen
• dc.subject.keyword Ontologiesen
• dc.subject.keyword Rulesen
• dc.subject.keyword Situation awarenessen
• dc.title Description logics and rules for multimodal situational awareness in healthcareca
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion