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2020-02-27 216浏览

  • 1.:: :: Semantic Web in the Context Broker Architecture Harry Chen, Tim Finin, Anupam Joshi Univ. of Maryland, Baltimore County PerCom 2004 :: eBiquity Research Group :: CSEE :: UMBC ::
  • 2.:: :: Outline • Introduction • Issues in building context­aware systems • How Semantic Web languages can help • Background • The Semantic Web vision and ontologies • Context Broker Architecture (CoBrA) • Approach, design, and prototypes • Ongoing work & concluding remarks :: eBiquity Research Group :: CSEE :: UMBC ::
  • 3.:: :: Computing Evolution … :: eBiquity Research Group :: CSEE :: UMBC ::
  • 4.:: :: Pervasive Computing Thank God! PerCom is here… :: eBiquity Research Group :: CSEE :: UMBC ::
  • 5.:: :: Intelligence is the Key TCoooDdnm.ofSiDuwgycnuonhcrnlao.ewta.ioornk?… :: eBiquity Research Group :: CSEE :: UMBC ::
  • 6.:: :: Context­Aware Systems • Context­awareness is a key aspect of the intelligent pervasive computing systems • Systems that can anticipate users’ needs and act in advance by “understanding” their context • A system that knows I am the speaker • A system that knows you are the audiences • A system that knows we are in a conference •… :: eBiquity Research Group :: CSEE :: UMBC ::
  • 7.:: :: What’s Context? • The situational conditions that are associated with a user • Location, room temperature, lighting conditions, noise level, social activities, user intentions, user beliefs, user roles, personal information, etc. :: eBiquity Research Group :: CSEE :: UMBC ::
  • 8.:: :: Related Work • Since the early 90’s, people have been interested in building context­aware systems •Olivetti:Call forwarding & teleporting systems … • XeroxPARC:Active map, PARC Tab … • GeorgiaTech.:Context toolkit, cyberguide … •MIT:Office assistant, location­aware information delivery, intelligent room … • UCBerkley:Context Fabric •UIUC:Gaia • HPLabs:Cooltown, CoolAgents … •… :: eBiquity Research Group :: CSEE :: UMBC ::
  • 9.:: The Shortcomings of the :: Previous Systems • Lacking an adequate representation for context modeling and reasoning • Individual agents are responsible for managing their own context knowledge • Users often have no control over the information that is acquired by the sensors :: eBiquity Research Group :: CSEE :: UMBC ::
  • 10.:: :: Research Issues • Context Modeling & Reasoning • How to represent context, so that it can be processed and reasoned by the computers • Knowledge Maintenance & Sharing • How to maintain consistent context knowledge and share that information with other systems • User Privacy Protection • How to let users to control the sharing and the use of their contextual information that is acquired by the hidden sensors :: eBiquity Research Group :: CSEE :: UMBC ::
  • 11.:: :: Our Research Contributions •CoBrA:a broker­centric agent architecture for supporting pervasive context­aware systems • Using SW languages to define ontologies for context modeling and reasoning • Using logic inference to interpret context and to detect and resolve inconsistent knowledge • Allowing users to defined policies to control the use of their contextual information :: eBiquity Research Group :: CSEE :: UMBC ::
  • 12.:: :: Other Contributions •EasyMeeting:a smart meeting room prototype that exploits CoBrA • Providing relevant services and information to meeting participants based on their situational needs • Allowing users to control the use and the sharing their location and social context :: eBiquity Research Group :: CSEE :: UMBC ::
  • 13.:: :: Semantic Web & Ontologies :: eBiquity Research Group :: CSEE :: UMBC ::
  • 14.:: :: About the Semantic Web • An extension to the present World Wide Web. • The focus is on enabling computing machines to be able to reason about web information in addition to display web information. •NOTE:'>NOTE: