Abstract
When searching metadata, it can be useful to detect expressions in the query that should be searched for in specific fields (for instance, person names might correspond to an “author” field). In [1], it was shown that automatically structured queries (matching title, abstract, author and publication fields) improved effectiveness when searching the ACM, CITIDEL and NDLTD Computing Digital Libraries.
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References
Gonçalves, M.A., Fox, E.A., Krowne, A., Calado, P., Laender, A.H.F., de Silva, A.S., Ribeiro-Neto, B.: The Effectiveness of Automatically Structured Queries in Digital Libraries. In: JCDL 2004 (2004)
Peinado, V., Artiles, J., López-Ostenero, F., Gonzalo, J., Verdejo, F.: UNED at Image CLEF 2004: Detecting Named Entities and Noun Phrases for Automatic Query Expansion and Structuring. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds.) CLEF 2004. LNCS, vol. 3491, pp. 643–652. Springer, Heidelberg (2005)
Pirkola, A.: The Effects of Query Structure and Dictionary Setups in Dictionary-Based Cross-Language Information Retrieval. In: SIGIR 1998, pp. 55–63 (1998)
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Peinado, V., López-Ostenero, F., Gonzalo, J., Verdejo, F. (2005). Searching Cross-Language Metadata with Automatically Structured Queries. In: Rauber, A., Christodoulakis, S., Tjoa, A.M. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2005. Lecture Notes in Computer Science, vol 3652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11551362_67
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DOI: https://doi.org/10.1007/11551362_67
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