Wissensmanagement Informations- und Wissensmanagement für Informationswirte – Teil 2 Wintersemester 2006 / 2007 Prof. Dr. Rudi Studer Dr. York Sure.

Präsentation zum Thema: "Wissensmanagement Informations- und Wissensmanagement für Informationswirte – Teil 2 Wintersemester 2006 / 2007 Prof. Dr. Rudi Studer Dr. York Sure."—  Präsentation transkript:

1 Wissensmanagement Informations- und Wissensmanagement für Informationswirte – Teil 2 Wintersemester 2006 / 2007 Prof. Dr. Rudi Studer Dr. York Sure Dr. Peter Haase Übung: Denny Vrandecic

2 Termine WM-Teil Vorlesung: Mittwoch, 14:00 – 15:30 Uhr (ab 20. 12.)
Wissensmanagement Termine WM-Teil Vorlesung: Mittwoch, 14:00 – 15:30 Uhr (ab ) Hörsaal HS I Chemie Übung: Mittwoch, 15:45 – 17:15 Uhr (ab ) voraussichtlich Raum –116, Geb Klausur: voraussichtlich 21. Februar 2007, 9:00

3 Sprechstunden Prof. Dr. Rudi Studer Dr. York Sure Dr. Peter Haase:
Wissensmanagement Sprechstunden Prof. Dr. Rudi Studer Dienstags, 9:00 -10:00 (nach Voranmeldung) Tel.: / Dr. York Sure Nach Absprache Tel.: / Dr. Peter Haase: Tel.: / Denny Vrandecic Tel.: /

4 Informationen im Internet
Wissensmanagement Informationen im Internet Hier ist u. a. folgendes zu finden: Aktuelle Ankündigungen Folienkopien Übungsblätter Literaturempfehlungen Interessante Links

5 Karlsruhe: Location for Semantic Technologies and Applications
Wissensmanagement Karlsruhe: Location for Semantic Technologies and Applications Application-oriented Research Know-how Transfer Realizing new Scenarios Application-oriented Research Product Development Innovative Solutions Basic Research Application-oriented Research Knowledge Management B2B, EAI Business Intelligence Electronic Markets eGovernment Semantic Web Infrastructure Ontology Management Data, Web & Text Mining Peer-to-Peer, Semantic Grid Semantic Web Services

6 Who are we? Semantic Web Research Group
Wissensmanagement Who are we? Semantic Web Research Group Sudhir Agarwal Anupriya Ankolekar Rudi Studer Andreas Abecker Stephan Bloehdorn Simone Braun Sebastian Blohm Knowledge Management Semantic Web Intelligent WWW-Applications Business Intelligence eGovernment Ontology Engineering Data/Text Mining Ontology Learning Peer-to-Peer Web Services Saartje Brockmans Stephan Grimm Philipp Cimiano Heiko Haller Peter Haase Jens Hartmann Pascal Hitzler Hans-Jörg Happel Markus Krötzsch Mark Hefke Steffen Lamparter Ljiljana Stojanovic Holger Lewen York Sure Nenad Stojanovic Julien Tane Christoph Tempich Max Völkel Johanna Völker Valentin Zacharias Yimin Wang Denny Vrandecic + ~40 people at

7 Wissensmanagement Partners and Projects

8 Interesse? http://www.aifb.uni-karlsruhe.de/WBS
Wissensmanagement Interesse? Lehrveranstaltungen für Informationswirte Pflichteveranstaltung: Informations- und Wissensmanagement (mit IPD) Wahlfach Informations- und Wissenssysteme: Knowledge Discovery (Abecker) Wahlfach Informationsdienstleistungen in Netzen: Intelligente Systeme im WWW (Hitzler / Sure)

9 Interested? http://www.aifb.uni-karlsruhe.de/WBS In participating in
Wissensmanagement Interested? In participating in practice-oriented international research projects? „HiWi“ jobs (modeling and software development) Seminars, internships, and theses Ontology Management Data/Text Mining Peer-to-Peer Web Services In our topics? Knowledge Management Semantic Web Intelligent WWW-Applications Business Intelligence eGovernment

10 Wissensmanagement Our research motto ‘‘People can’t share knowledge if they do not speak a common language.‘‘ ‘‘Modeling instead of programming!‘‘

11 Basic tools of our research
Wissensmanagement Basic tools of our research ONTOLOGIES

12 Case-Based- Reasoning
Wissensmanagement Overview Knowledge starts in peoples minds PKM human (tacit) „system“ (explicit) storage Case-Based- Reasoning XXXXX XXXXX Ontology-based KM Ist gut so, aber ich wurde ontologien erst mit Ontology-based KM einfuehren, weil ich denke Ontology-based KM geht nicht nur um zentrale Ontologien. (aan)

13 Overview Introduction Ontology-Based Knowledge Management
Wissensmanagement Overview Introduction Ontology-Based Knowledge Management Case-Based Reasoning (CBR) Case Study – Ontology-based KM in Practice

14 Overview Introduction Ontology-Based Knowledge Management
Wissensmanagement Overview Introduction Motivation – Why Knowledge Management? Terms and Definitions – What is Knowledge? Aspects – Models of Knowledge Management Ontology-Based Knowledge Management Case-Based Reasoning (CBR) Case Study – Ontology-based KM in Practice

15 Overview Introduction Ontology-Based Knowledge Management
Wissensmanagement Overview Introduction Ontology-Based Knowledge Management Introduction to Ontologies Ontologies in KM Ontology Engineering Methods Case-Based Reasoning (CBR) Case Study – Ontology-based KM in Practice

16 Overview Introduction Ontology-Based Knowledge Management
Wissensmanagement Overview Introduction Ontology-Based Knowledge Management Case-Based Reasoning (CBR) CBR Basics CBR in KM Applications CBR-Based KM Process Case Study – Ontology-based KM in Practice

17 Overview Introduction Ontology-Based Knowledge Management
Wissensmanagement Overview Introduction Ontology-Based Knowledge Management Case-Based Reasoning (CBR) Case Study – Ontology-based KM in Practice Skill Management at DaimlerChrysler … „…“ depends on how we fare with the time

18 Literature: Knowledge Management
Wissensmanagement Literature: Knowledge Management Knowledge Management G. Probst, S. Raub, K. Romhardt: Wissen managen: Wie Unternehmen ihre wertvollste Ressource optimal nutzen. Gabler, Wiesbaden 1997 I. Nonaka, H. Takeuchi: The Knowledge Creating Company. Oxford University Press 1995 Ontology-based KM S. Staab, R. Studer (eds.): Handbook on Ontologies, ISBN , Springer Verlag, 2004 Case Based Reasoning CBR I. Watson: Applying Case-Based Reasoning: Techniques for Enterprise Systems, Morgan Kaufmann, San Francisco, 1997