Enterprise Knowledge Discovery and Management Using Semantic Knowledge Processing Technology

Yauheni Veryha ()
Additional contact information
Yauheni Veryha: Department of Industrial IT Software Technologies, ABB Corporate Research, Wallstadter Str. 59, 68526 Ladenburg, Germany

Journal of Information & Knowledge Management (JIKM), 2003, vol. 02, issue 01, 33-40

Abstract: This paper presents an implementation framework for enterprise knowledge discovery and management using semantic knowledge processing technology. The developed solution gives the possibility of effectively organizing, controlling and updating knowledge portal content using the company's expertise and available semantic knowledge processing tools. The key concept has been to introduce blocking databases for filtering knowledge content returned from semantic knowledge processing tools with subject-action-object (SAO) knowledge presentation model. The architecture of the enterprise knowledge management solution and the example of using blocking databases with "CoBrain" semantic knowledge processing tool have been presented.

Keywords: Knowledge discovery; semantic technology; blocking database; knowledge portal (search for similar items in EconPapers)
Date: 2003
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S021964920300022X
Access to full text is restricted to subscribers

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:wsi:jikmxx:v:02:y:2003:i:01:n:s021964920300022x

Ordering information: This journal article can be ordered from

DOI: 10.1142/S021964920300022X

Access Statistics for this article

Journal of Information & Knowledge Management (JIKM) is currently edited by Professor Suliman Hawamdeh

More articles in Journal of Information & Knowledge Management (JIKM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().