Please use this identifier to cite or link to this item: http://elea.unisa.it:8080/xmlui/handle/10556/927
Title: Hybrid approaches based on computational intelligence and semantic web for distributed situation and context awareness
Authors: Furno, Domenico
Persiano, Giuseppe
Loia, Vincenzo
Keywords: Situation awareness
Semantic web
Computational intelligence
Context awareness
Fuzzy logic
Fuzzy control
Swarm intelligence
Sensor data semantic annotation
Knowledge representation
Semantic reasoning
Pattern recognition
Information retrieval
Multi-agent paradigms
Issue Date: 29-Apr-2013
Publisher: Universita degli studi di Salerno
Abstract: The 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]
Description: 2011 - 2012
URI: http://hdl.handle.net/10556/927
Appears in Collections:Teorie, metodologie e applicazioni avanzate per la comunicazione, l'informatica e la fisica

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tesi D. Furno.pdftesi di dottorato25,15 MBAdobe PDFView/Open
abstract in italiano D. Furno.pdfabstract in italiano a cura dell'autore305,22 kBAdobe PDFView/Open
diapositive D. Furno.pdfdiapositive D. Furno6,58 MBAdobe PDFView/Open


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