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0  Concepts, Services and Tools for Contextualization of Corporate Content - Why not use Multidimensional Tagging? Presentation at the School of Software an Microelectronics, Peking University, 20-Sept-2010

THEMES: Nastansky, Ludwig\...\09_Peking-Univ... | Wang-Nastansky, Pei\Presentations | Peking University
META STRUCTURES: k-Pool\Concepts&Archi... | Website\K-Pool | Website\Main Portal | Website\Research Portal
2010LABEL: Business Information Systems | Business Process Management | Content | contextualization | Context explication | ECM | GroupFlow | K-Pool | k-Viewer | Knowledge Management | Multi-dimensional | semi-structured data | StarTree | tagging | Tag Clouds | Workflow | 知识管理
LANGUAGE: Chinese | German
ORGANIZATIONS: GCC - Groupware Competence Center | Peking University | School of Software and Microelectronics | University of Applied Science Jena | Universität Paderborn - University of Paderborn
PEOPLE: Li, Weiping | Nastansky, Ludwig | Wang-Nastansky, Pei
PLACES: Beijing
TIME: 2010
Workflow-Management - Systemstatus und Entwicklungsströmungen

THEMES: Huth, Carsten | Nastansky, Ludwig\...\Workflow
META STRUCTURES: GCC Activities\...\Publications | LN\Papers | Projects\...\Printed Public...
2006LABEL: Ad hoc Workflow Managament | BPR - Business Process Reengineering | GroupFlow | semi-structured data | WfMC - Workflow Management Coalition | WfMS | Workflow | Workflow - Ad hoc | Workflow Lifecycle
ORGANIZATIONS: GCC - Groupware Competence Center | University of Essex | WISU - Das Wirtschaftsstudium
PEOPLE: Huth, Carsten | Nastansky, Ludwig
TIME: 2006
The Fourth IEEE International Conference on Data Mining, Sponsored by the IEEE Computer Society, Brighton, UK, November 01 - 04, 2004

THEMES: ICDM
2004LABEL: Data Mining | IDCM | semi-structured data
PLACES: Brighton, England | UK - Unites Kingdom
THINGS: learning algorithms | Text analysis
TIME: 2004
The Third IEEE International Conference on Data Mining, Sponsored by the IEEE Computer Society, Melbourne, Florida, USA, November 19 - 22, 2003

THEMES: ICDM
2003LABEL: Data Mining | IDCM | semi-structured data
PLACES: Florida
THINGS: learning algorithms | Text analysis
TIME: 2003