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European Conference on Information Retrieval

ECIR 2019: Advances in Information Retrieval pp 241–245Cite as

node-indri: Moving the Indri Toolkit to the Modern Web Stack

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11438))

Abstract

We introduce node-indri, a Node.js module that acts as a wrapper around the Indri toolkit, and thus makes an established IR toolkit accessible to the modern web stack. node-indri exposes many of Indri’s functionalities and provides direct access to document content and retrieval scores for web development (in contrast to, for instance, the Pyndri wrapper). This setup reduces the amount of glue code that has to be developed and maintained when researching search interfaces, which today tend to be developed with specific JavaScript libraries such as React.js, Angular.js or Vue.js. The node-indri repository is open-sourced at https://github.com/felipemoraes/node-indri.

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Notes

  1. 1.

    http://lucene.apache.org/.

  2. 2.

    https://www.elastic.co/products/elasticsearch.

  3. 3.

    https://nodejs.org/.

  4. 4.

    https://github.com/nodejs/nan.

  5. 5.

    https://trec.nist.gov/data/million.query07.html.

  6. 6.

    More details and benchmark code are included in the GitHub repository.

References

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Acknowledgements

This work was funded by NWO projects LACrOSSE (612.001.605) and SearchX (639.022.722). The authors would like to thank Harry Scells for his input.

Author information

Authors and Affiliations

  1. Delft University of Technology, Delft, The Netherlands

    Felipe Moraes & Claudia Hauff

Authors
  1. Felipe Moraes
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  2. Claudia Hauff
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Corresponding authors

Correspondence to Felipe Moraes or Claudia Hauff .

Editor information

Editors and Affiliations

  1. University of Strathclyde, Glasgow, UK

    Leif Azzopardi

  2. Bauhaus Universität Weimar, Weimar, Germany

    Benno Stein

  3. Universität Duisburg-Essen, Duisburg, Germany

    Norbert Fuhr

  4. GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany

    Philipp Mayr

  5. Delft University of Technology, Delft, The Netherlands

    Claudia Hauff

  6. University of Twente, Enschede, The Netherlands

    Djoerd Hiemstra

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Moraes, F., Hauff, C. (2019). node-indri: Moving the Indri Toolkit to the Modern Web Stack. In: Azzopardi, L., Stein, B., Fuhr, N., Mayr, P., Hauff, C., Hiemstra, D. (eds) Advances in Information Retrieval. ECIR 2019. Lecture Notes in Computer Science(), vol 11438. Springer, Cham. https://doi.org/10.1007/978-3-030-15719-7_32

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  • DOI: https://doi.org/10.1007/978-3-030-15719-7_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15718-0

  • Online ISBN: 978-3-030-15719-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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