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Semantic Organization/Enterprise Vision

Semantic Organization/Enterprise Vision. Michal Laclavik, Ladislav Hluchy, Marian Babik, Zoltan Balogh, Ivana Budinska, Martin Seleng Ústav In f ormatiky SAV. Outline. Motivation Processing of Information for Knowledge Management Organizational Memories

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Semantic Organization/Enterprise Vision

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  1. Semantic Organization/Enterprise Vision Michal Laclavik, Ladislav Hluchy, Marian Babik, Zoltan Balogh, Ivana Budinska, Martin Seleng Ústav Informatiky SAV Bratislava, 28. november 2006

  2. Outline • Motivation • Processing of Information for Knowledge Management • Organizational Memories • Semantic based Workflows and Services Bratislava, 28. november 2006

  3. Reasoning Actions Pragmatics Knowledge Semantics Information Data Syntax Characters (Bergman, 2002, Experience Management) Knowledge Management • Knowledge is key asset • Employees are coming and going • Needs for managing assets • Knowledge Management (KM) is the process through which organizations generate value from their intellectual and knowledge-based assets (Source: CIO Magazine) • Data: 20 • Information: 20 oC • Knowledge: room temperature Bratislava, 28. november 2006

  4. Vision of Semantic Web • The Semantic Web is a mesh of information linked up in such a way as to be easily processable by machines, on a global scale. You can think of it as being an efficient way of representing data on the World Wide Web, or as a globally linked database.(Source: http://infomesh.net/2001/swintro/ - The Semantic Web: An Introduction) Bratislava, 28. november 2006

  5. Vision of Semantic Organization/Enterprise • To have all information and data available for computer processing via Semantic Web technology (XML, RDF, OWL) • Ontology translation not so important on one domain … • Document and Text analysis results using Semantic annotation are part of this • Conversion or mapping of RDBMS to XML/RDF/OWL • Active Providing of Information and Knowledge • Workflows of Tasks and Services Bratislava, 28. november 2006

  6. Ontology based Text Annotation - OnTeA • Detecting Meta data from Text • Preparing improved structured data for later computer processing • Structured data are based on application ontology model + => Bratislava, 28. november 2006

  7. EMBET: User Assistant • Collaboration among Users • Knowledge Sharing and Recommendation • Proactive Knowledge Provision • Reuse of Knowledge: Notes, Workflows, Results Objective: Assist user to provide information in context Bratislava, 28. november 2006

  8. Software with following functionality User Problem description Displaying Knowledge Adding Knowledge Knowledge Reuse Permanent Notes Storage Voting on Notes EMBET architecture: Core, GUI Context detection Context Matching to display information & knowledge Plain text analysis using Advanced Semantic Annotation Algorithms – OnTeA Theory of different context matching algorithms EMBET: Achievements Bratislava, 28. november 2006

  9. Ontology Tree Browse window Graph Good for further research XSL Transformation RDF/OWL => Plain XML + XSL => HTML Infrastructure to receive plain XML using XML-RPC Presentation of Ontology based Knowledge Bratislava, 28. november 2006

  10. Similarity Measures • OntoSim • EMBET • Pellucid Bratislava, 28. november 2006

  11. NAZOU Project Bratislava, 28. november 2006

  12. Each organization Context sensitive Action Oriented ACoMA: Emails Bratislava, 28. november 2006

  13. Conclusion: Processing of Information for Knowledge Management • Information context detection • User context detection • Information versus user context matching • Displaying the knowledge Bratislava, 28. november 2006

  14. Pellucid NAZOU K Wf Grid Knowledge Bases Bratislava, 28. november 2006

  15. USERS PELLUCID Pellucid – user interaction Workflow Tracking/Management System CONTEXT & ACTIONS Pellucid“core” ACTIVEHINTS USERFEEDBACK Pellucid interface Bratislava, 28. november 2006

  16. Analysis of Workflows Case-base Reasoning Prediction Knowledge Analysis Bratislava, 28. november 2006

  17. Semantic Service Oriented Architecture Workflows of Web Services K Wf Grid Project Bratislava, 28. november 2006

  18. Conclusion • Semantic Organization/Enterprise Vision • Processing of Info and Knowledge • Knowledge Bases • Semantic Service Oriented Architectures Bratislava, 28. november 2006

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