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An interactive ontology learning workbench for non-experts
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Conference on Information and Knowledge Management archive
Proceeding of the 2nd international workshop on Ontologies and nformation systems for the semantic web table of contents
Napa Valley, California, USA
SESSION: Session 1 table of contents
Pages 9-16  
Year of Publication: 2008
ISBN:978-1-60558-255-9
Authors
Jon Atle Gulla  Norwegian University of Science and Technology, Trondheim, Norway
Vijayan Sugumaran  Oakland University, Rochester, MI, USA
Sponsors
ACM: Association for Computing Machinery
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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ABSTRACT

Ontologies are an integral part of Knowledge and Information Management systems and there is increased interest in using ontologies for organizational memory. Ontology learning workbenches are used for semi-automatic learning of ontologies from representative text collections. This paper presents a new interactive workbench that gives the users more freedom in their ontology engineering process and frees them from knowing any ontology language syntax. The workbench is implemented as part of a search project, in which ontologies are used to search for movie information on the web. New techniques are steadily being added to the workbench, though early testing has already confirmed the validity of the ontology learning approach.


REFERENCES

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Collaborative Colleagues:
Jon Atle Gulla: colleagues
Vijayan Sugumaran: colleagues