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A WordNet-Based Indexing Technique for Geographical Information Retrieval

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Evaluation of Multilingual and Multi-modal Information Retrieval (CLEF 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4730))

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Abstract

This paper presents an indexing technique based on WordNet synonyms and holonyms. This technique has been developed for the Geographical Information Retrieval task. It may help in finding implicit geographic information contained in texts, particularly if the indication of the containing geographical entity is omitted. Our experiments were carried out with the Lucene search engine over the GeoCLEF 2006 set of topics. Results show that expansion can improve recall in some cases, although a specific ranking function is needed in order to obtain better results in terms of precision.

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Carol Peters Paul Clough Fredric C. Gey Jussi Karlgren Bernardo Magnini Douglas W. Oard Maarten de Rijke Maximilian Stempfhuber

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Buscaldi, D., Rosso, P., Sanchis, E. (2007). A WordNet-Based Indexing Technique for Geographical Information Retrieval. In: Peters, C., et al. Evaluation of Multilingual and Multi-modal Information Retrieval. CLEF 2006. Lecture Notes in Computer Science, vol 4730. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74999-8_122

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  • DOI: https://doi.org/10.1007/978-3-540-74999-8_122

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74998-1

  • Online ISBN: 978-3-540-74999-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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