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Exploiting temporal information in retrieval of archived documents

Published: 19 July 2009 Publication History

Abstract

In a text retrieval community, many researchers have shown a good quality of searching a current snapshot of the Web. However, only a small number have demonstrated a good quality of searching a long-term archival domain, where documents are preserved for a long time, i.e., ten years or more. In such a domain, a search application is not only applicable for archivists or historians, but also in a context of national library and enterprise search (searching document repositories, emails, etc.). In the rest of this paper, we will explain three problems of searching document archives and propose possible approaches to solve these problems. Our main research question is: How to improve the quality of search in a document archive using temporal information?

References

[1]
K. Nørvåg. Supporting temporal text-containment queries in temporal document databases. Journal of Data&Knowledge Engineering, 49(1):105--125, 2004.
[2]
N. Kanhabua and K. Nørvåg. Improving Temporal Language Models for Determining Time of Non-timestamped Documents. In Proceedings of ECDL'08, 2008.

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  • (2012)Finding salient dates for building thematic timelinesProceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 110.5555/2390524.2390627(730-739)Online publication date: 8-Jul-2012

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  1. Exploiting temporal information in retrieval of archived documents

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    cover image ACM Conferences
    SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
    July 2009
    896 pages
    ISBN:9781605584836
    DOI:10.1145/1571941

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 19 July 2009

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    Author Tags

    1. language models
    2. query expansion
    3. ranking
    4. temporal search

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    • (2012)Finding salient dates for building thematic timelinesProceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 110.5555/2390524.2390627(730-739)Online publication date: 8-Jul-2012

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