1. WIKTBratislava, 28. november 20061 Semantic Organization/Enterprise Vision Michal Laclavik, Ladislav Hluchy, Marian Babik, Zoltan Balogh, Ivana Budinska, Martin Seleng Ústav Informatiky SAV

2. WIKTBratislava, 28. november 20062 Outline Motivation Processing of Information for Knowledge Management Organizational Memories Semantic based Workflows and Services

3. WIKTBratislava, 28. november 20063 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) Characters Data Information Knowledge Actions Syntax Semantics Pragmatics Reasoning (Bergman, 2002, Experience Management) Data: 20 Information: 20 o C Knowledge: room temperature

4. WIKTBratislava, 28. november 20064 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)http://infomesh.net/2001/swintro/

5. WIKTBratislava, 28. november 20065 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

6. WIKTBratislava, 28. november 20066 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 => +

7. WIKTBratislava, 28. november 20067 Objective: Assist user to provide information in context EMBET: User Assistant Collaboration among Users Knowledge Sharing and Recommendation Proactive Knowledge Provision Reuse of Knowledge: Notes, Workflows, Results

8. WIKTBratislava, 28. november 20068 EMBET: Achievements 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

9. WIKTBratislava, 28. november 20069 Presentation of Ontology based Knowledge 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

10. WIKTBratislava, 28. november 200610 Similarity Measures OntoSim EMBET Pellucid

11. WIKTBratislava, 28. november 200611 NAZOU Project

12. WIKTBratislava, 28. november 200612 ACoMA: Emails Each organization Context sensitive Action Oriented

13. WIKTBratislava, 28. november 200613 Conclusion: Processing of Information for Knowledge Management Information context detection User context detection Information versus user context matching Displaying the knowledge

14. WIKTBratislava, 28. november 200614 Knowledge Bases Pellucid NAZOU K Wf Grid

15. WIKTBratislava, 28. november 200615 PELLUCID USERS Pellucid – user interaction CONTEXT & ACTIONS ACTIVE HINTS USER FEEDBACK Workflow Tracking/Management System Pellucid “core” Pellucid interface

16. WIKTBratislava, 28. november 200616 Knowledge Analysis Analysis of Workflows Case-base Reasoning Prediction

17. WIKTBratislava, 28. november 200617 K Wf Grid Project Semantic Service Oriented Architecture Workflows of Web Services

18. WIKTBratislava, 28. november 200618 Conclusion Semantic Organization/Enterprise Vision Processing of Info and Knowledge Knowledge Bases Semantic Service Oriented Architectures