Authors:
Alexander Heußner
;
Moritz Höser
and
Sven Ziemer
Affiliation:
Knowledge Management, Bauhaus Luftfahrt e.V., Willy-Messerschmitt-Str. 1, Taufkirchen and Germany
Keyword(s):
Data Awareness Challenge, Diagrammatic, Multi-perspective Modelling, Multi-modal Knowledge.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Best Practices & Communities of Practice
;
Communities of Practice
;
Computer-Supported Education
;
Enterprise Information Systems
;
KM Strategies and Implementations
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Learning/Teaching Methodologies and Assessment
;
Society, e-Business and e-Government
;
Symbolic Systems
;
Tools and Technology for Knowledge Management
;
Web Information Systems and Technologies
Abstract:
In today’s data-centric world, the data-awareness challenge is a crucial touchstone to existing knowledge management technologies. Adaptive, stakeholder-centric knowledge modelling approaches provide a solid ground to tackle this challenge and open the door to enrich knowledge management by a socio-technological perspective. This paper proposes the use of a socio-technological approach to overcome the data-awereness challenge by treating knowledge on data as a crucial business asset. Here, a data awareness generating, iterative, incremental knowledge elicitation technique based on a multi-perspective, multi-modal diagrammatic knowledge representation language serves as proof of concept.