Electronic thesauri have been identified as strategic instruments for indexing electronic documents (Miller et al, 1990; Salton, 1968). However, one of the main problems of using electronic thesauri, remains the creation and maintenance (Grefenstette, 1994). In this paper, we provide some basic steps towards a solution for this maintenance problem through the IKEM-platform by combining groupware-methods and knowledge-based indexing techniques. IKEM is a client/server-based environment based on two indexing engines which generate automatically keywords, concepts and relation-frames for any electronic document. We present in this paper the basic functions of this platform and illustrate the maintenance issues that are solved by synchronous and asynchronous co-operation tools which support annotation clustering. We end by indicating some future development plans. IKEM is currently patent pending.
[1]
G.J.A. Riesthuis,et al.
Woordsystemen : theorie en praktijk van thesauri en trefwoordsystemen
,
2000
.
[2]
Allen Ginsberg,et al.
A unified approach to automatic indexing and information retrieval
,
1993,
IEEE Expert.
[3]
Jim Boyle,et al.
Electronic Document Management Systems: A User Centered Approach for Creating, Distributing, and Managing Online Publications
,
1996
.
[4]
Karen Sparck Jones.
Automatic keyword classification for information retrieval
,
1971
.
[5]
Gregory Grefenstette,et al.
Explorations in automatic thesaurus discovery
,
1994
.