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Bibliometric-Enhanced Information Retrieval: 11th International BIR Workshop

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 12657)

Abstract

The Bibliometric-enhanced Information Retrieval (BIR) workshop series at ECIR tackles issues related to academic search, at the intersection of Information Retrieval, Natural Language Processing and Bibliometrics. BIR is a hot topic investigated by both academia and the industry. In this overview paper, we summarize the 11th iteration of the workshop and present the workshop topics for 2021.

Keywords

  • Academic search
  • Information retrieval
  • Digital libraries
  • Bibliometrics
  • Scientometrics

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Notes

  1. 1.

    BIR 2020 appeared in https://irsg.bcs.org/informer/category/spring-2020/.

  2. 2.

    https://sdproc.org/2021/.

References

  1. Cabanac, G., Frommholz, I., Mayr, P.: Report on the 10th anniversary workshop on bibliometric-enhanced information retrieval (BIR 2020). In: SIGIR Forum, vol. 54, no. 1 (2020). https://doi.org/10.1145/3451964.3451974

  2. Cabanac, G., Frommholz, I., Mayr, P.: Scholarly literature mining with information retrieval and natural language processing: preface. Scientometrics 125(3), 2835–2840 (2020). https://doi.org/10.1007/s11192-020-03763-4

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  3. Mayr, P., Scharnhorst, A., Larsen, B., Schaer, P., Mutschke, P.: Bibliometric-enhanced information retrieval. In: de Rijke, M., et al. (eds.) ECIR 2014. LNCS, vol. 8416, pp. 798–801. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-06028-6_99

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  4. White, H.D., McCain, K.W.: Visualizing a discipline: an author co-citation analysis of Information Science, 1972–1995. J. Am. Soc. Inf. Sci. 49(4), 327–355 (1998). https://doi.org/b57vc7

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Acknowledgement

The organizers wish to thank all those who contributed to this workshop series: the researchers who contributed papers, the many reviewers who generously offered their time and expertise, and the participants of the BIR and BIRNDL workshops. Since 2016, we maintain the Bibliometric-enhanced-IR Bibliography that collects scientific papers which appear in collaboration with the BIR/BIRNDL organizers.

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Correspondence to Ingo Frommholz .

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Frommholz, I., Mayr, P., Cabanac, G., Verberne, S. (2021). Bibliometric-Enhanced Information Retrieval: 11th International BIR Workshop. In: Hiemstra, D., Moens, MF., Mothe, J., Perego, R., Potthast, M., Sebastiani, F. (eds) Advances in Information Retrieval. ECIR 2021. Lecture Notes in Computer Science(), vol 12657. Springer, Cham. https://doi.org/10.1007/978-3-030-72240-1_85

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  • DOI: https://doi.org/10.1007/978-3-030-72240-1_85

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  • Publisher Name: Springer, Cham

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