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SEKT Methodology: Initial Lessons Learned and Tool Design

Vrandecic, Denny; Sure-Vetter, York; Tempich, Christoph; Engler, Michael

The vision of SEKT is to develop and exploit the knowledge technologies which underlie Next Generation Knowledge Management. We envision knowledge workplaces where the boundaries between document management, content management, and knowledge management are broken down, and where knowledge management is an effortless part of day to day activities. SEKT is built around the synergy of the complementary know-how of the key European centres of excellence in Ontology and Metadata Technology, Knowledge Discovery, and Human Language Technology. The execution of SEKT is based on the integration of fundamental research, component development and integration driven by real world case studies in the public and private sectors. SEKT will provide new insights on knowledge technologies.

The main objective of work package 7 is to provide a methodology for the application of Semantic Knowledge Technologies into enterprises in a goal-driven and process-oriented way. The developed SEKT methodology is applied and evaluated as part of the case studies. In this report we collect the feedback from the case study partners. We present the enhancements of the methodology and include lessons learned and best practices.
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Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Forschungsbericht/Preprint
Publikationsjahr 2006
Sprache Englisch
Identifikator KITopen-ID: 1000094803
Verlag Universität, Karlsruhe
Bemerkung zur Veröffentlichung SEKT Deliverable 7.2.1
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