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Context-aware medical content adaptation through semantic representation and rules evaluation

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dc.contributor.author Doukas, C en
dc.contributor.author Maglogiannis, I en
dc.contributor.author Karpouzis, K en
dc.date.accessioned 2014-03-01T02:45:12Z
dc.date.available 2014-03-01T02:45:12Z
dc.date.issued 2008 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32200
dc.subject Audio Coding en
dc.subject Content Adaptation en
dc.subject Context Aware en
dc.subject Contextual Information en
dc.subject Data Transmission en
dc.subject Knowledge Base en
dc.subject Semantic Representation en
dc.subject Rule Based en
dc.subject.other Information theory en
dc.subject.other Knowledge based systems en
dc.subject.other Ontology en
dc.subject.other Semantics en
dc.subject.other Sensor networks en
dc.subject.other Bio-signals en
dc.subject.other Content adaptations en
dc.subject.other Context awareness en
dc.subject.other Context-aware en
dc.subject.other Contextual informations en
dc.subject.other Data transmissions en
dc.subject.other Initial assessments en
dc.subject.other Knowledge base en
dc.subject.other Medical datum en
dc.subject.other Medical networks en
dc.subject.other Medical videos en
dc.subject.other Ontological models en
dc.subject.other Physiological datum en
dc.subject.other Rule-based en
dc.subject.other Semantic representations en
dc.subject.other Telemedicine services en
dc.subject.other Underlying networks en
dc.subject.other Telemedicine en
dc.title Context-aware medical content adaptation through semantic representation and rules evaluation en
heal.type conferenceItem en
heal.identifier.primary 10.1109/SMAP.2008.37 en
heal.identifier.secondary http://dx.doi.org/10.1109/SMAP.2008.37 en
heal.identifier.secondary 4724861 en
heal.publicationDate 2008 en
heal.abstract Proper coding and transmission of medical and physiological data is a crucial issue for the effective deployment and performance of telemedicine services. The paper presents a platform for performing proper medical content adaptation based on context awareness. Sensors are used in order to determine the status of a patient being monitored through a medical network. Additional contextual information regarding the patient's environment (e.g., location, data transmission device and underlying network conditions, etc.) are represented through an ontological knowledge base model. Rule-based evaluation determines proper content (i.e., biosignals, medical video and audio) coding and transmission of medical data, in order to optimize the telemedicine process. The paper discusses the design of the ontological model and provides an initial assessment. © 2008 IEEE. en
heal.journalName Proceedings - 3rd International Workshop on Semantic Media Adaptation and Personalization, SMAP 2008 en
dc.identifier.doi 10.1109/SMAP.2008.37 en
dc.identifier.spage 128 en
dc.identifier.epage 134 en


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