Authors:
Vasilios Andrikopoulos
1
;
Michael Parkin
1
;
Mike P. Papazoglou
1
and
Patricia Lago
2
Affiliations:
1
Tilburg University, Netherlands
;
2
VU University Amsterdam, Netherlands
Keyword(s):
Knowledge model, Knowledge management.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Best Practices & Communities of Practice
;
Communication, Collaboration and Information Sharing
;
Communities of Practice
;
Computer-Supported Education
;
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
;
Web Information Systems and Technologies
Abstract:
The field of Service Science, Management & Engineering (SSME), covers a wide range of research topics and has become fragmented due to the necessary specialization such broad area requires. The European Commission’s Network of Excellence in Software Services and Systems (S-Cube) is an attempt to bring scientists together to perform joint research in this field that crosses existing research boundaries and, in the process of doing so, to help establish an enduring European network of researchers practicing SSME.
To assist in the consolidation of research and bridge the gaps between disciplines, the S-Cube Knowledge Model (KM) has been developed to provide a method of capturing, managing and refining the knowledge produced by the network and provide a common understanding of research outputs. This paper describes the motivation, requirements and realization of the S-Cube KM, which allows the collection, analysis and management of research within S-Cube and enables the extraction and co
mbination of the explicit, cross-cutting knowledge embedded in collaborative research.
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