Identify Knowledge Base Technology: Description of intro-image 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 [1]Introduction to IKB (Camdemo Movie) Try a Demonstration [2]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 [3]http://www.csd.abdn.ac.uk/~sleeman/dhs-publications.html References 1. http://www.csd.abdn.ac.uk/~yzhang/demo1.mov 2. http://www.csd.abdn.ac.uk/~yzhang/demoprogram/ 3. http://www.csd.abdn.ac.uk/~sleeman/dhs-publications.html Dave Robertson eae05bf788a35707ab3ef98a30030c98b66757f3