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Similarity searching in the CORDIS text database

Petrakis Evripidis, Kostas Tzeras

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URI: http://purl.tuc.gr/dl/dias/9E3224CC-7E1F-49DD-8676-503F85F5BC11
Year 2000
Type of Item Peer-Reviewed Journal Publication
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Bibliographic Citation Euripides G.M. Petrakis and Kostas Tzeras: "Similarity Searching in the CORDIS Text Database" , Software Practice and Experience, Volume 30, no. 13, pp. 1447-1464, Nov. 2000. DOI: 10.1002/1097-024X(20001110)30:13<1447 https://doi.org/10.1002/1097-024X(20001110)30:13<1447
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Summary

Similarity searching in text databases with multiple field types is still an open problem. We focus our attention on the ‘Community Research and Development Information Service’ (CORDIS) database of the European Union and we evaluate the effectiveness of many text retrieval methods in terms of precision, recall and ranking quality. Our experiments indicate that different field types should be handled by different retrieval methods.

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