Authors:
Catarina Marques-Lucena
1
;
Carlos Agostinho
1
;
Sotiris Koussouris
2
and
João Sarraipa
1
Affiliations:
1
Universidade Nova de Lisboa and UNINOVA, Portugal
;
2
NTUA, Portugal
Keyword(s):
Semantic Wiki, Tacit Knowledge, Explicit Knowledge, Knowledge Management.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Data Engineering
;
Databases and Information Systems Integration
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Enterprise Resource Planning
;
Enterprise Software Technologies
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge Management
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Society, e-Business and e-Government
;
Software Engineering
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
Nowadays organizations have been pushed to speed up the rate of industrial transformation to high value
products and services. The capability to agilely respond to new market demands became a strategic pillar
for innovation, and knowledge management could support organizations to achieve that goal. However, such
knowledge management approaches tend to be over complex or too academic, with interfaces difficult to manage,
even more if cooperative handling is required. Nevertheless, in an ideal framework, both tacit and explicit
knowledge management should be addressed to achieve knowledge handling with precise and semantically
meaningful definitions. Contributing towards this direction, this paper proposes a framework capable of gathering
the knowledge held by domain experts through a widespread wiki look interface, and transforming it into
explicit ontologies. This enables to build tools with advanced reasoning capacities that may support enterprises
decision-making processes.