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Subtask 1.8 WWW Networked Knowledge Bases August 19, 2003 AcademicsAir force Arvind BansalScott Pollock Cheng Chang Lu (away)Hyatt Rick ParentMark (SAIC)

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Presentation on theme: "Subtask 1.8 WWW Networked Knowledge Bases August 19, 2003 AcademicsAir force Arvind BansalScott Pollock Cheng Chang Lu (away)Hyatt Rick ParentMark (SAIC)"— Presentation transcript:

1 Subtask 1.8 WWW Networked Knowledge Bases August 19, 2003 AcademicsAir force Arvind BansalScott Pollock Cheng Chang Lu (away)Hyatt Rick ParentMark (SAIC) T. K. Prasad Bin Wang

2 Academic Member Expertise Arvind Bansal –Fault tolerant in multi agent systems, distributed multimedia information retrieval, Abstractions for bandwidth reduction, 3D movie over Internet, Quality of Service, multimedia multimodal interfaces, genomics Cheng Lu –Image processing, feature extraction, compression, character recognition, machine intelligence T. K. Prasad –Semantic web, information extraction, domain specific approaches, semi automatic approaches, semantic nets

3 Academic Member Expertise Rick Parent –Video monitoring, security, motion analysis, Quality of Service, bandwidth reduction Bin Wang –Quality of Service, survivability, human participation, traffic isolation, trace back

4 Relevant Group Expertise Content extraction and secure transmission –Feature extraction, compression, Image analysis, motion pattern analysis, semi structured text analysis, web security, transmission, distributed multimedia information retrieval, Intelligent agents, and Quality of Service Knowledge Assisted Rapid Knowledge Fusion –Semantic nets, semi-structured text analysis, image analysis, motion pattern analysis Human Computer Interaction –Multimodal multimedia interfaces, domain specific visualization, multimedia triggers, virtual multimedia agents, intelligent agents, fault tolerance, adaptability and survivability

5 Potential Collaborative Effort Knowledge assisted progressive Image analysis Immunity based web transmissions Immunity based multi agent systems Integration of semi-structured text and image analysis for multimodal knowledge refinement

6 Goal Web based active and reliable knowledge extraction and fusion Knowledge management should mimic human capability Seamless immersible integration Exceeding capacity, efficiency, accuracy with human in loop

7 Dual Capabilities WWW based content analysis –news and media clip analysis –Real time streaming news analysis Reconnaissance Dynamic Scene Analysis –real time pattern movement and formations –real time analysis of disasters (natural hazard, war effect etc.) –real time target identification

8 Taxonomy Content extraction –web based search, distributed and parallel database search –text, image, audio, audiovisual analysis –feature extraction and matching Knowledge fusion –knowledge representation (ontologies, for layered abstraction) –dialog protocols (resolve ambiguity and incompleteness on need to know basis) –knowledge validation –consistency checking and human based verification –knowledge transformation (layered abstraction, filters to take care of privilages on need to know basis) –reactivity (provactive, predictive and dissemination)

9 Taxonomy (continued) Secure infrastructure –Quality of Service –reliability, availability, heterogeneity, –security (reactive), immunity –fault tolerance and adaptability –distributed access and storage over the web –local access and storage –query generation Human computer interaction –decision support –collaboration –immersion –visualization

10 Strategy


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