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SEKT Methodology: Initial Lessons Learned and Tool Design

Published: 2006 Januar
Type: SEKT Deliverable
Nummer: 7.2.1Der Datenwert „.2.1“ kann einem Attribut des Datentyps Zahl nicht zugeordnet werden sondern bspw. der Datenwert „7“.
Institution: University of Karlsruhe


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.

Based on this experiences we also designed two DILIGENT-based tools. EvA is meant for the distributed engineering of ontologies, whereas the Semantic MediaWiki is best suited for the population of ontologies. We describe the design of these tools and some application scenarios.

Download: Media:2006_1116_Vrandecic_SEKT_Methodolog_1.pdf
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Wissensrepräsentation, Wissensmanagementmethodik, Wissensmanagementsysteme, Ontologiemodellierung, Entwicklung von Wissensmanagementsystemen, Ontology Engineering, Wissensportale, Ontologiemodellierungsmethodology, Web Science, Ontologiebasierte Wissensmanagementsysteme, WWW Systeme