Abstract: In the proposed article a new, ontology-based approach to information retrieval (IR) is presented. The system is based on a domain knowledge representation schema in form of ontology. New resources registered within the system are linked to conce
approach this has been predefined (it could be inferred from given query set with proper answers that are available fro Cystic Fibrosis collection). But this question may be definitely solved in many different ways. For example with any technique for assigning concepts from ontology to a query, e.g. based on manual assignment or based on synonyms to query terms, making use of Wordnet or other techniques.
Our future work will be focused on further enhancement of ontology-based retrieval mechanism using more sophisticated inference mechanism for finding similar concepts to given query. E.g. by analyzing different types of relations within actual ontology. There may be also other experiments with different combinations of analyzed approaches in various (real) settings etc.
ACKNOWLEDGEMENTS
We would like to thank our project partners for helpful comments and stimulating discussions. This work is done within the Webocracy project, which is supported by European Commission DG INFSO under the IST program, contract No. IST-1999-20364 and within the VEGA project 1/8131/01 ”Knowledge Technologies for Information Acquisition and Retrieval” of Scientific Grant Agency of Ministry of Education of the Slovak Republic.
The content of this publication is the sole responsibility of the authors, and in no way represents the view of the European Commission or its services.
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