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Stefan Möllmann - Background Degree in computerscience Since 12/2009: researchassistantat Karlsruhe Institute of Technology (KIT) in Germany Working in Project SECURITY2People Goal: Integrated disastermanagementsystem tosupportdecisionmakersacrossagenciesandorganizations andacross (almost) all hierarchicallevels 17.08.2011
PhDtopic Automatic context sensitive informationdelivery Goal: users in disastermanagementgettherightinformationattheright time withoutworryingabouthowtoobtainthatinformation How? First ideas: Contextawarenessbyaccesstovarioussourcesofinformationcontainingsituationaldata (databaseoftheoverallsystem but also publicsourceslikeTwitter etc.) Semantictechnologiescombinedwith a rulebasedsystemtodeterminetheinformationsuitableforthegivensituation 17.08.2011
Proposedsystemarchitecture 17.08.2011
Requirements: Learning frompreviouscases (semi-)automaticrefinementofbothrulebaseandknowledgebase Easy tomaintain/extend Next step: Look forexisting (partial) solutions (e.g. expert systems, ontologies) 17.08.2011 Challenge No 1: Knowledge / ruledatabase
Challenge No 2: User requirements Major requirementsidentified so far: Avoidinformationoverload Allowforimprovisation (flexibility) Not interferwithexistingworkingprocesses Major open questions: Whereandwhenandforwhomisthissystemnecessary? Howto deal withtheunexpected? 17.08.2011
Contact stefan.moellmann@kit.edu 17.08.2011

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stefan moellmann issil2011

  • 1. Stefan Möllmann - Background Degree in computerscience Since 12/2009: researchassistantat Karlsruhe Institute of Technology (KIT) in Germany Working in Project SECURITY2People Goal: Integrated disastermanagementsystem tosupportdecisionmakersacrossagenciesandorganizations andacross (almost) all hierarchicallevels 17.08.2011
  • 2. PhDtopic Automatic context sensitive informationdelivery Goal: users in disastermanagementgettherightinformationattheright time withoutworryingabouthowtoobtainthatinformation How? First ideas: Contextawarenessbyaccesstovarioussourcesofinformationcontainingsituationaldata (databaseoftheoverallsystem but also publicsourceslikeTwitter etc.) Semantictechnologiescombinedwith a rulebasedsystemtodeterminetheinformationsuitableforthegivensituation 17.08.2011
  • 4. Requirements: Learning frompreviouscases (semi-)automaticrefinementofbothrulebaseandknowledgebase Easy tomaintain/extend Next step: Look forexisting (partial) solutions (e.g. expert systems, ontologies) 17.08.2011 Challenge No 1: Knowledge / ruledatabase
  • 5. Challenge No 2: User requirements Major requirementsidentified so far: Avoidinformationoverload Allowforimprovisation (flexibility) Not interferwithexistingworkingprocesses Major open questions: Whereandwhenandforwhomisthissystemnecessary? Howto deal withtheunexpected? 17.08.2011