Towards Ontologies On Demand

The Semantic Web aims at adding semantic knowledge into the web of natural language hypertext, enabling deep-level information search and information integration. However, building a knowledge base and an ontology is so costly and time-consuming that it hampers the progress of the Semantic Web activity.

We present a method for building ontologies on demand from scientific queries by applying text mining technologies. The method induces ontological concepts and relationships relevant to the query by analyzing search result documents together with domain-specific knowledge sources available on the Web. Users can use this partial ontology not only for ad-hoc search refinement but also for extending an existing domain ontology. The presented method can be used to produce, over several sessions, a personalized ontology.

By: Youngja Park, Roy. J. Byrd, Branimir K. Boguraev

Published in: RC22868 in 2003

LIMITED DISTRIBUTION NOTICE:

This Research Report is available. This report has been submitted for publication outside of IBM and will probably be copyrighted if accepted for publication. It has been issued as a Research Report for early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and specific requests. After outside publication, requests should be filled only by reprints or legally obtained copies of the article (e.g., payment of royalties). I have read and understand this notice and am a member of the scientific community outside or inside of IBM seeking a single copy only.

rc22868.pdf

Questions about this service can be mailed to reports@us.ibm.com .