In this paper, we present an approach to document enrichment, which consist
s of developing and integrating formal knowledge models with archives of do
cuments, to provide intelligent knowledge retrieval and (possibly) addition
al knowledge-intensive services, beyond what is currently available using "
standard" information retrieval and search facilities. Our approach is onto
logy-driven, in the sense that the construction of the knowledge model is c
arried out in a top-down fashion, by populating a given ontology, rather th
an in a bottom-up fashion, by annotating a particular document. In this pap
er, we give an overview of the approach and we examine the various types of
issues (e.g. modelling, organizational and user interface issues) which ne
ed to be tackled to effectively deploy our approach in the workplace. In ad
dition, we also discuss a number of technologies we have developed to suppo
rt ontology-driven document enrichment and we illustrate our ideas in the d
omains of electronic news publishing, scholarly discourse and medical guide
lines. (C) 2000 Academic Press.