Jydodenterprisearch2010talk
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"Evolutionary Shared Knowledge Architecture Perspective", Presentation at 2010 DoD Enterprise Architecture Conference
![Evolutionary Shared Knowledge Architecture Perspective and Principles (Networking enables social evolution of knowledge.) Panelist: John A. Yanosy Jr. [email_address] 972-705-1807](https://image.slidesharecdn.com/jydodenterprisearch2010talk-12766363105779-phpapp01/85/Jydodenterprisearch2010talk-1-320.jpg)
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Jydodenterprisearch2010talk
- 1. Evolutionary Shared Knowledge Architecture Perspective and Principles (Networking enables social evolution of knowledge.) Panelist: John A. Yanosy Jr. [email_address] 972-705-1807
- 2. Architecture Challenge: Enabling dynamic evolution of social knowledge relevant to mission goals and needs of collaborative communities Action Readiness Mission Relevance Effort Unity Coordination Knowledge Mission Requirements Knowledge Tasking Decision Knowledge Shared knowledge Architecture defined capabilities to collect, fuse, discover, represent, relate, understand, and reason about knowledge
- 4. <Domain Knowledge> <Domain Knowledge> Intentional Comm Agent B Ex p = <Context, Domain, Intention, Language Intentional Expressions Semantic Interaction Domain Knowledge Intentional speech acts Intentional Speech acts Collaborative knowledge Cognitive Reasoning & Logics Perception, Actions Perception, Actions Intensional knowledge Context Knowledge Cognitive Reasoning & Logics Domain of Interest - Real & Social- Cultural Worlds External Knowledge( Schemas, Taxonomies, Ontologies, Namespaces, Metadata) Semantic Interactions & Query Language Semantic Interactions & Query Language Ontologies & Logic Taxonomies Domain Schemas Vocabularies Namespaces Common Logic Upper Ontologies Semantic Rules Context KR Intensional Logic XML Data Elements Ontologies & Logic Taxonomies Domain Schemas Vocabularies Namespaces Common Logic Upper Ontologies Semantic Rules Context KR Intensional Logic XML Data Elements Intensional Semantics Intensional Semantics Collaboration Multi Agent Semantic Model Distributed & Common Knowledge) Collaboration Multi Agent Semantic Model Distributed & Common Knowledge Context knowledge Context knowledge
- 7. Agent Knowledge Social Knowledge Sharing of Semantic Interactions Leading to Social Knowledge Evolution
- 8. Explicit Services and Purposeful Speech Acts, No Semantics Goals Knowledge Speech Acts Context Goals Knowledge Speech Acts Context Purposeful Communications Intentions, Services Intentions, Services Reasoning Reasoning Reasoning Reasoning Request, Commitment Shared Knowledge Perspective, Situation Collaboration, Role REACTIVE COGNITIVE ENVIRONMENT Perception Perception World Modifying Actions World Modifying Actions ENVIRONMENT ENVIRONMENT ENVIRONMENT
- 9. Explicit Semantic Knowledge, Services, and Speech Acts Goals Knowledge Speech Acts Context Goals Knowledge Speech Acts Context Purposeful Communications Intentions, Services Intentions, Services Reasoning Reasoning Reasoning Reasoning Request, Commitment Shared Knowledge Perspective, Situation Collaboration, Role REACTIVE COGNITIVE ENVIRONMENT Perception Perception World Modifying Actions World Modifying Actions ENVIRONMENT ENVIRONMENT ENVIRONMENT
- 10. Explicit Mission Context Knowledge Added Goals Knowledge Speech Acts Context Goals Knowledge Speech Acts Context Purposeful Communications Intentions, Services Intentions, Services Reasoning Reasoning Reasoning Reasoning Request, Commitment Shared Knowledge Perspective, Situation Collaboration, Role REACTIVE COGNITIVE ENVIRONMENT Perception Perception World Modifying Actions World Modifying Actions ENVIRONMENT ENVIRONMENT ENVIRONMENT
- 11. Comprehensive Cognitive Semantic Interoperability Model Goals Knowledge Speech Acts Context Goals Knowledge Speech Acts Context Purposeful Communications Intentions, Services Intentions, Services Reasoning Reasoning Reasoning Reasoning Request, Commitment Shared Knowledge Perspective, Situation Collaboration, Role REACTIVE COGNITIVE ENVIRONMENT Perception Perception World Modifying Actions World Modifying Actions ENVIRONMENT ENVIRONMENT ENVIRONMENT
Hinweis der Redaktion
- Knowledge is dynamic and evolves with human experience, networks and systems are partners in this evolution. Architectures will focus on providing knowledge required to its user community by defining dynamic and evolutionary capabilities to gather, search, analyze, interpret, model, predict, and share consistent information relevant to their mission and purpose Architectures will be more extensible and flexible through dynamic coordination of knowledge resources at different levels of scope, semantic compatibility, and granularity for different user roles and capabilities An overarching knowledge perspective is required across all architecture views as to identifying the enabling or impeding capabilities for knowledge sharing and mutually consistent interpretation A careful assessment should be made of the nature of the architectural semantic definitions for all messages, data, schemas, interfaces, protocols, etc. (machine, human, hybrid) to identify possible semantic impediments preventing shared knowledge