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The Domain-Specific Track at CLEF 2006: Overview of Approaches, Results and Assessment

  • Maximilian Stempfhuber
  • Stefan Baerisch
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4730)

Abstract

The CLEF domain-specific track uses databases in different languages from the social science domain as the basis for retrieval of documents relevant to a user’s query. Predefined topics simulate the user’s information needs and are used by the research groups participating in this track to generate actual queries. The documents are structured into individual elements so that they can be used for optimizing the search strategies. One type of the retrieval task was on cross-language retrieval, the finding of information using queries in a different language than the actual language of the documents. English, German and Russian were used as languages for queries and documents. Queries therefore had to be translated from one of the languages to one or more of the other languages. Besides the cross-language tasks also monolingual retrieval tasks were carried out where query and document are in the same language. The focus here was to map the query onto the language and internal structure of the documents.

This paper gives an overview of the domain-specific track and reports on noteworthy trends in approaches and results as well as on the topic creation and assessment process.

Keywords

Working Note Actual Query Topic Creation Inion Corpus Noteworthy Trend 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Maximilian Stempfhuber
    • 1
  • Stefan Baerisch
    • 1
  1. 1.GESIS – Informationszentrum Sozialwissenschaften (IZ), Lennéstraße 30, 53113 BonnGermany

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