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dc.contributor.authorFurno, Domenico
dc.date.accessioned2013-12-19T08:51:17Z
dc.date.available2013-12-19T08:51:17Z
dc.date.issued2013-04-29
dc.identifier.urihttp://hdl.handle.net/10556/927
dc.description2011 - 2012en_US
dc.description.abstractThe research work focuses on Situation Awareness and Context Awareness topics. Specifically, Situation Awareness involves being aware of what is happening in the vicinity to understand how information, events, and one’s own actions will impact goals and objectives, both immediately and in the near future. Thus, Situation Awareness is especially important in application domains where the information flow can be quite high and poor decisions making may lead to serious consequences. On the other hand Context Awareness is considered a process to support user applications to adapt interfaces, tailor the set of application-relevant data, increase the precision of information retrieval, discover services, make the user interaction implicit, or build smart environments. Despite being slightly different, Situation and Context Awareness involve common problems such as: the lack of a support for the acquisition and aggregation of dynamic environmental information from the field (i.e. sensors, cameras, etc.); the lack of formal approaches to knowledge representation (i.e. contexts, concepts, relations, situations, etc.) and processing (reasoning, classification, retrieval, discovery, etc.); the lack of automated and distributed systems, with considerable computing power, to support the reasoning on a huge quantity of knowledge, extracted by sensor data. So, the thesis researches new approaches for distributed Context and Situation Awareness and proposes to apply them in order to achieve some related research objectives such as knowledge representation, semantic reasoning, pattern recognition and information retrieval. The research work starts from the study and analysis of state of art in terms of techniques, technologies, tools and systems to support Context/Situation Awareness. The main aim is to develop a new contribution in this field by integrating techniques deriving from the fields of Semantic Web, Soft Computing and Computational Intelligence. From an architectural point of view, several frameworks are going to be defined according to the multi-agent paradigm. Furthermore, some preliminary experimental results have been obtained in some application domains such as Airport Security, Traffic Management, Smart Grids and Healthcare. Finally, future challenges is going to the following directions: Semantic Modeling of Fuzzy Control, Temporal Issues, Automatically Ontology Elicitation, Extension to other Application Domains and More Experiments. [edited by author]en_US
dc.language.isoenen_US
dc.publisherUniversita degli studi di Salernoen_US
dc.subjectSituation awarenessen_US
dc.subjectSemantic weben_US
dc.subjectComputational intelligenceen_US
dc.subjectContext awarenessen_US
dc.subjectFuzzy logicen_US
dc.subjectFuzzy controlen_US
dc.subjectSwarm intelligenceen_US
dc.subjectSensor data semantic annotationen_US
dc.subjectKnowledge representationen_US
dc.subjectSemantic reasoningen_US
dc.subjectPattern recognitionen_US
dc.subjectInformation retrievalen_US
dc.subjectMulti-agent paradigmsen_US
dc.titleHybrid approaches based on computational intelligence and semantic web for distributed situation and context awarenessen_US
dc.typeDoctoral Thesisen_US
dc.subject.miurINF/01 INFORMATICAen_US
dc.contributor.coordinatorePersiano, Giuseppeen_US
dc.description.cicloXI n.s.en_US
dc.contributor.tutorLoia, Vincenzoen_US
dc.identifier.DipartimentoInformaticaen_US
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