The On-To-Knowledge contribution: Ontologies
The On-To-Knowledge project applies ontologies to electronically available
information to improve the quality of knowledge management in large and distributed
Ontologies are formal theories supporting knowledge sharing and reuse (cf., CYC,
KACTUS, KIF and Ontolingua). They can be used to explicitly represent semantics of
semi-structured information. This enables sophisticated automatic support for acquiring,
maintaining, and accessing information. For this we will develop a methodology and tools
for intelligent access to large volumes of semistructured and textual information sources
in intra-, extra-, and internet-based environments to employ the full power of ontologies
in supporting knowledge management from two perspectives:
1. The Information Client. Access to knowledge must be simple and effective. The
costs and barriers in accessing knowledge has to be lowered and the user needs to be made
aware of existing knowledge sources. Existing keyword-based retrieval techniques clearly
fail on these requirements. Improving access to information sources is the first main goal
of the On-To-Knowledge.
2. The Information Provider: Providing and maintaining large bodies of textual
and semistructured information sources with current techniques is a labour-intensive and
costly activity. Lowering these costs is the second main goal of the project.
The goal of the On-To-Knowledge project is to support efficient and effective knowledge
management. We will focus on acquiring, maintaining, and accessing weakly-structured
online information sources:
- Acquiring: Text mining and extraction techniques are applied to extract semantic
information from textual information (i.e., to acquire information).
- Maintaining: RDF and XML are used for describing syntax and semantics of
semi-structured information sources. Toolsupport enables automatic maintenance and view
definitions on this knowledge.
- Accessing: Pushservices and agent techology support users in accessing the
Project Extension Goal
The On-To-Knowledge extension contribution: Ontology Middleware.
The extension of the project will develop an ontology middleware module (OMM)
to serve as a key integration component. The basic issue about the usability
of this module are the application programming interfaces (API) that the
client software should use to connect with it. So, the first goal will be
to define such API Ð this involves analysis of the tools and services to
be accessible through the OMM on one hand and on the typical client modules
on the other. Having well-defined API is even more important than the implementation
of the OMM itself. A complementary goal would be to provide some reasoning
services that seem to be very critical for a wide range of applications.