STUDIO: Ontology-Centric Knowledge-Based System
Réka Vas ()
Additional contact information
Réka Vas: Corvinus University of Budapest
A chapter in Corporate Knowledge Discovery and Organizational Learning, 2016, pp 83-103 from Springer
Abstract:
Abstract Characterizing, structuring and systematizing all the knowledge assets of an organization represents a major challenge nowadays. At the same time rapid social, economic and technological changes require organizations to act and adapt quickly. In order to be able to meet all these expectations, organizations must implement such comprehensive knowledge management solutions that enable multiple ways of using and reusing organizational knowledge. This chapter provides a complete description of how the STUDIO knowledge-based system can support organizations in applying and evaluating knowledge, in learning, in adapting changes to their own context quickly, and in translating learning into action. STUDIO is an extensible and domain independent knowledge based system that captures the relevant domain concepts and their relations by ontological entities around which a set of knowledge—and human resource management related tasks are carried out. To evaluate the proposed architecture we have applied it to the challenge of managing knowledge both in business and educational contexts.
Keywords: Business Process; Domain Ontology; Test Question; Organizational Knowledge; Adaptive Test (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:kmochp:978-3-319-28917-5_4
Ordering information: This item can be ordered from
http://www.springer.com/9783319289175
DOI: 10.1007/978-3-319-28917-5_4
Access Statistics for this chapter
More chapters in Knowledge Management and Organizational Learning from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().