| The approach of the project is the use of ontologies for each of these three processes. We will develop a three-layered tool
environment to achieve these goals.
At the lowest level (the information level), weakly-structured information sources
are processed to extract machine-processable meta-information from them.
The intermediate level (the representation level) uses this meta-information to
provide automatic access, creation, and maintenance of these information sources.
The highest level (called access level) uses advanced push ad pull techniques to
lower the thresholds for accessing this information.
Agent-based techniques as well as state-of the art querying and visualization techniques
can fully employ the formal annotations to guide user access of information. At all
levels, ontologies are the key asset in achieving the described functionality. The
methodology will complement the tool helping to bridge the gap between information needs
and information sources.
The ambition level of the project is described along three dimensions:
- size of ontologies. The ontologies should be rich and large enough to be usable
on a company-wide scale. This means that we will be aiming at ontologies in the order of
hundreds of concepts. This surpasses current ontological modelling efforts by at most a
single order of magnitude. We expect no significant computational or conceptual
difficulties along this dimension.
- numbers of pages: In one of the case studies we will deal with an Organisational
Memory that involves many thousands of intranet-pages. Current technology already
available in-house by two of the partners (P4 & P7) ensures that this order of
magnitude is indeed within our reach.
- user-level: our users are of two types: information clients and information
providers. For both categories we aim to give support that will allow non-IT specialists
to use the software developed by the project.