Identify Knowledge Base fact-file

What's the Problem

Characterising Knowledge Resources

General form of knowledge query:

     Request knowledge base on topic T, conforming to set of constraints C.

To match this with appropriate capabilities, need ability to:

• Identify the topic T of the knowledge base.
• Express and detect constraint set C to which knowledge base conforms.

Towards a Solution

Topic Identification

Extract concepts from knowledge base.

     by using the ontology extraction tool, for example.

Match these against some hierarchical reference ontology (or ontologies).

     reference ontology defines domain of interest.

Topic is given by the 'most specific' super-concept which subsumes these concepts.

Take a Guided Tour

Introduction to IKB (Camdemo Movie)

Try a Demonstration

Version 1.0, including full online documentation, downloadable.

Technical requirements:

Windows 98, 2000, XP, Java Runtime Environment

Example Applications

If identified knowledge base concepts are:

{Apples, Pears} then

Fruit is the topic of the KB.

{Apples, Potatoes, Carrots} then

Fruit-Vegetables is the topic.

{Apples, Potatoes, Chicken} then

Food is the topic.

STATUS: IDENTIFY-KB reads concepts from file (eg extracted from PROLOG program) /keyboard; also reads in RDF Ontologies from WWW.

Further Reading

Reference:

Derek Sleeman, Stephen Potter, Dave Robertson, and W. Marco Schorlemmer (2002) Enabling Services for Distributed Environments: Ontology Extraction and Knowledge Base Characterisation. Proceedings of Workshop on Knowledge Transformations for the Semantic Web, held at ECAI-02, Lyon France, 21-26 July 2002

http://www.csd.abdn.ac.uk/~sleeman/dhs-publications.html

Semantic representation

View in the AKT Triplestore Browser or as RDF.

Also available in DOAP RDF (Description Of A Project)