Searching cross-language metadata with automatically structured queries

Authors:
Víctor Peinado;Fernando López-Ostenero;Julio Gonzalo;Felisa Verdejo
Affiliations:
NLP Group, UNED. ETSI. de Informática, Madrid, Spain;NLP Group, UNED. ETSI. de Informática, Madrid, Spain;NLP Group, UNED. ETSI. de Informática, Madrid, Spain;NLP Group, UNED. ETSI. de Informática, Madrid, Spain
Venue:
ECDL'05 Proceedings of the 9th European conference on Research and Advanced Technology for Digital Libraries
Year:
2005

Citing 3
Cited 1

The effects of query structure and dictionary setups in dictionary-based cross-language information retrieval

Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
The effectiveness of automatically structured queries in digital libraries

Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
UNED at ImageCLEF 2004: detecting named entities and noun phrases for automatic query expansion and structuring

CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images

UNED at ImageCLEF 2005: automatically structured queries with named entities over metadata

CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories

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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.