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Memoria-Mea

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MEMORIA–MEA: SEMANTIC TECHNOLOGIES &INTERACTIVE VISUALIZATION TECHNIQUES FOR P.I.M.Francesco Carrino, Maria Sokhn, Elena Mugellini, Omar Abou KhaledMultimedia Information System Group (MISG)University of applied Sciences of Fribourg, Switzerland


OUTLINE2 Introduction Context & Issues Proposal <strong>Memoria</strong>-<strong>Mea</strong> Architecture Prototype Conclusion & Future WorkFrancesco Carrino – PhD Student – AWIC'1101/02/2011 17:27


3INTRODUCTIONFrancesco Carrino – PhD Student – AWIC'1101/02/2011 17:27


INTRODUCTION5 Primary idea of the talk Present the <strong>Memoria</strong><strong>Mea</strong> Framework, a PersonalInformation Management (PIM) system developed to (1)manage multimedia content, (2) support the user insearching, browsing and visualizing “multimediamemories”.Francesco Carrino – PhD Student – AWIC'1101/02/2011 17:27


6CONTEXT & ISSUESFrancesco Carrino – PhD Student – AWIC'1101/02/2011 17:27


CONTEXT & ISSUES7 Context: Thanks to the development of newtechnologies and with the advent of the Web,people are faced to deal with an increasing amountof information during their every day-life activitiesPersonal InformationFrancesco Carrino – PhD Student – AWIC'1101/02/2011 17:27


CONTEXT & ISSUES8 Problem: finding the right information, at the righttime, in a short period of timeFrancesco Carrino – PhD Student – AWIC'1101/02/2011 17:27


CONTEXT & ISSUES9 Technological solutions: semantic web data mining interactive visualizations What do we miss?INTEGRATION!!!Francesco Carrino – PhD Student – AWIC'1101/02/2011 17:27


10PROPOSALFrancesco Carrino – PhD Student – AWIC'1101/02/2011 17:27


PROPOSAL11 <strong>Memoria</strong>-<strong>Mea</strong>: main ideas Personal Information Management (PIM) system formanaging multimedia content Support the user in searching, browsing and visualizing“multimedia memories” Based on personalized information indexing andclassification (ontology-based annotations andreasoning along with data mining techniques)Francesco Carrino – PhD Student – AWIC'1101/02/2011 17:27


PROPOSAL12 <strong>Memoria</strong>-<strong>Mea</strong>: Logical ArchitectureFrancesco Carrino – PhD Student – AWIC'1101/02/2011 17:27


13MemoSIVMemoSAMProtégéFrancesco Carrino – PhD Student – AWIC'1101/02/2011 17:27


PROPOSAL14 <strong>Memoria</strong>-<strong>Mea</strong>: Technical ArchitectureVisualizationModuleVirtual Queries ModuleAnnotationModuleData Mining ModuleQueriesAnalysisModuleExpansionQueriesModuleTermsRecommendationRulesExtractionModuleVQ OntoVQ ClassicalIndexOntoEngineClassicalIndexesaccessible via WebGDSIndexPCPersonal DataFrancesco Carrino – PhD Student – AWIC'1101/02/2011 17:27


15Visualization ModuleAnnotation ModuleVirtual Queries ModuleData Mining ModuleQueriesAnalysisModuleExpansionQueriesModuleTermsRecommendationRulesExtractionModuleVQ OntoVQ ClassicalIndexOntoEngineClassicalIndexesaccessible via WebGDSIndexPCPersonalDataFrancesco Carrino – PhD Student – AWIC'1101/02/2011 17:27


PROPOSAL: Prototype16 MemoSIV: <strong>Memoria</strong>-<strong>Mea</strong> Smart InformationVisualization Search & browse Heterogeneous collection of multimedia content• Pictures• Videos• Audio files• Text Documents Two main navigation metaphors• Browse data according to their type• Browse data according to events (chronologically ordered)Francesco Carrino – PhD Student – AWIC'1101/02/2011 17:27


PROPOSAL: Prototype17 MemoSIV – Main InterfaceFrancesco Carrino – PhD Student – AWIC'1101/02/2011 17:27


PROPOSAL: Prototype18Francesco Carrino – PhD Student – AWIC'1101/02/2011 17:27


PROPOSAL: Prototype19 MemoSAM: <strong>Memoria</strong>-<strong>Mea</strong> Semantic Annotation ofMultimedia Semantic knowledge based engine: store & reason aboutsemantic data, infer new knowledge, accessible through webservices• Jena framework Handle Ontologies• Jetty Web Server• Pellet Reasoner• MemoOnto (own ontology) + Other public ontologies andknowledge bases (FOAF, GeoNames, etc) Give access to semantic data to other <strong>Memoria</strong>-<strong>Mea</strong>modulesFrancesco Carrino – PhD Student – AWIC'1101/02/2011 17:27


CONCLUSION & FUTURE WORK21 Conclusion This paper presented the <strong>Memoria</strong>-<strong>Mea</strong>architecture, a novel approach that combinessemantic annotation, semantic knowledge searchengine and interactive visualizations techniques toenrich user experience for searching and browsingthrough personal multimedia data. A prototype that validate the concept has beenpresented.Francesco Carrino – PhD Student – AWIC'1101/02/2011 17:27


CONCLUSION & FUTURE WORK22 Future Work Integration of Virtual Queries Module MemoSIV adaptation to VQ Integration of Annotation Module Evaluation of prototype• Ergonomics &Usability• Willingness to use such technologyFrancesco Carrino – PhD Student – AWIC'1101/02/2011 17:27


Francesco CarrinoFrancesco.Carrino@hefr.ch0041 (0) 26 429 67 45http://francesc.carrino.home.hefr.ch/<strong>Memoria</strong>-<strong>Mea</strong> Project: http://www.memoria-mea.ch/23

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