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European Conference on Information Retrieval

ECIR 2023: Advances in Information Retrieval pp 242–247Cite as

Dynamic Exploratory Search for the Information Retrieval Anthology

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13982))

Abstract

This paper presents dynamic exploratory search technology for the analysis of scientific corpora. The unique dynamic features of the system allow users to analyze quantitative corpus statistics beyond document counts, and to switch between corpus exploration and corpus filtering. To demonstrate the innovation of our approach, we apply our technology to the IR Anthology, a comprehensive corpus of information retrieval publications. We showcase, among others, how to query for potential PC members and the “Salton number” of an author.

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Notes

  1. 1.

    https://ir.webis.de.

  2. 2.

    https://ir-analytics.web.webis.de/pipes/scoringmodule.

  3. 3.

    https://ir-analytics.web.webis.de/pipes/saltonnumber.

  4. 4.

    https://ir-analytics.web.webis.de/pipes/customfacets.

References

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  2. Chang, J.C., Hahn, N., Perer, A., Kittur, A.: Searchlens: composing and capturing complex user interests for exploratory search. In: Proceedings of the 24th International Conference on Intelligent User Interfaces, IUI 2019, Marina del Ray, CA, USA, March 17–20, 2019, pp. 498–509 (2019). https://doi.org/10.1145/3301275.3302321

  3. Gollub, T., Hutans, L., Jami, T.A., Stein, B.: Exploratory Search Pipes with Scoped Facets. In: 2019 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2019). ACM (Oct 2019). https://doi.org/10.1145/3341981.3344247, http://doi.acm.org/10.1145/3341981.3344247

  4. Golovchinsky, G., Diriye, A., Dunnigan, T.: The future is in the past: Designing for exploratory search. In: Proceedings of the 4th Information Interaction in Context Symposium, pp. 52–61. IIIX ’12, ACM, New York, NY, USA (2012). https://doi.org/10.1145/2362724.2362738, http://doi.acm.org/10.1145/2362724.2362738

  5. Heim, P., Ertl, T., Ziegler, J.: Facet graphs: complex semantic querying made easy. In: Aroyo, L., et al. (eds.) The Semantic Web: Research and Applications, pp. 288–302. Springer, Berlin Heidelberg, Berlin, Heidelberg (2010)

    Chapter  Google Scholar 

  6. Potthast, M., et al.: The Information Retrieval Anthology. In: Diaz, F., Shah, C., Suel, T., Castells, P., Jones, R., Sakai, T. (eds.) 44th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2021), pp. 2550–2555. ACM (Jul 2021). https://doi.org/10.1145/3404835.3462798, https://dl.acm.org/doi/10.1145/3404835.3462798

  7. schraefel, M., Wilson, M., Russell, A., Smith, D.A.: mspace: Improving information access to multimedia domains with multimodal exploratory search. Commun. ACM 49(4), 47–49 (Apr 2006). https://doi.org/10.1145/1121949.1121980, http://doi.acm.org/10.1145/1121949.1121980

  8. Tunkelang, D.: Faceted Search, Synthesis Lectures on Information Concepts, Retrieval, and Services, vol. 1. Morgan & Claypool Publishers (2009). https://doi.org/10.2200/S00190ED1V01Y200904ICR005

  9. Wilson, M.L., schraefel, m.c.: mspace: What do numbers and totals mean in a flexible semantic browser (2006), https://eprints.soton.ac.uk/262666/

  10. Yee, K.P., Swearingen, K., Li, K., Hearst, M.: Faceted metadata for image search and browsing. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 401–408. CHI ’03, ACM, New York, NY, USA (2003). https://doi.org/10.1145/642611.642681, http://doi.acm.org/10.1145/642611.642681

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Author information

Authors and Affiliations

  1. Leipzig University, Leipzig, Germany

    Tim Gollub & Martin Potthast

  2. Bauhaus-Universität Weimar, Weimar, Germany

    Jason Brockmeyer & Benno Stein

  3. ScaDS.AI, Leipzig, Germany

    Martin Potthast

Authors
  1. Tim Gollub
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  2. Jason Brockmeyer
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  3. Benno Stein
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  4. Martin Potthast
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Corresponding author

Correspondence to Tim Gollub .

Editor information

Editors and Affiliations

  1. University of Amsterdam, Amsterdam, The Netherlands

    Jaap Kamps

  2. Université Grenoble-Alpes, Saint-Martin-d’Hères, France

    Lorraine Goeuriot

  3. Università della Svizzera Italiana, Lugano, Switzerland

    Fabio Crestani

  4. University of Copenhagen, Copenhagen, Denmark

    Maria Maistro

  5. University of Tsukuba, Ibaraki, Japan

    Hideo Joho

  6. Dublin City University, Dublin, Ireland

    Brian Davis

  7. Dublin City University, Dublin, Ireland

    Cathal Gurrin

  8. Universität Regensburg, Regensburg, Germany

    Udo Kruschwitz

  9. Dublin City University, Dublin, Ireland

    Annalina Caputo

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Cite this paper

Gollub, T., Brockmeyer, J., Stein, B., Potthast, M. (2023). Dynamic Exploratory Search for the Information Retrieval Anthology. In: Kamps, J., et al. Advances in Information Retrieval. ECIR 2023. Lecture Notes in Computer Science, vol 13982. Springer, Cham. https://doi.org/10.1007/978-3-031-28241-6_21

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  • DOI: https://doi.org/10.1007/978-3-031-28241-6_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-28240-9

  • Online ISBN: 978-3-031-28241-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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