Abstract
Math informational retrieval (MIR) search engines are absent in the wide-spread production use, even though documents in the STEM fields contain many mathematical formulae, which are sometimes more important than text for understanding. We have developed and open-sourced the WebMIaS MIR search engine that has been successfully deployed in the European Digital Mathematics Library (EuDML). However, its deployment is difficult to automate due to the complexity of this task. Moreover, the solutions developed so far to tackle this challenge are imperfect in terms of speed, maintenance, and robustness. In this paper, we will describe the virtualization of WebMIaS using Docker that solves all three problems and allows anyone to deploy containerized WebMIaS in a single line of code. The publicly available Docker image will also help the community push the development of math-aware search engines in the ARQMath workshop series.
The second author’s work was graciously funded by the South Moravian Centre for International Mobility as a part of the Brno Ph.D. Talent project.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Aizawa, A., Kohlhase, M., Ounis, I.: NTCIR-10 math pilot task overview. In: Proceedings of the 10th NTCIR Conference, pp. 654–661. NII, Tokyo (2013)
Aizawa, A., Kohlhase, M., Ounis, I., Schubotz, M.: NTCIR-11 math-2 task overview. In: Proceedings of the 11th NTCIR Conference, pp. 88–98. NII, Tokyo (2014). http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings11/pdf/NTCIR/OVERVIEW/01-NTCIR11-OV-MATH-AizawaA.pdf
Boettiger, C.: An introduction to Docker for reproducible research. ACM SIGOPS Oper. Syst. Rev. 49(1), 71–79 (2015)
Líška, M., Sojka, P., Růžička, M., Mravec, P.: Web interface and collection for mathematical retrieval: WebMIaS and MREC. In: Proceedings of DML 2011 Workshop, pp. 77–84. Masaryk University (2011). https://hdl.handle.net/10338.dmlcz/702604
Líška, M., Sojka, P., Růžička, M.: Similarity search for mathematics: masaryk university team at the NTCIR-10 math task. In: Proceedings of the 10th NTCIR Conference, pp. 686–691. NII Tokyo, Tokyo (2013). https://research.nii.ac.jp/ntcir/workshop/OnlineProceedings10/pdf/NTCIR/MATH/06-NTCIR10-MATH-LiskaM.pdf
Líška, M., Sojka, P., Růžička, M.: Math indexer and searcher web interface. In: Watt, S.M., Davenport, J.H., Sexton, A.P., Sojka, P., Urban, J. (eds.) CICM 2014. LNCS (LNAI), vol. 8543, pp. 444–448. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-08434-3_36
Novotný, V., Sojka, P., Štefánik, M., Lupták, D.: Three is better than one. In: CEUR Workshop Proceedings, Thessaloniki, Greece, pp. 1–30 (2020). http://ceur-ws.org/Vol-2696/paper_235.pdf
Růžička, M., Sojka, P., Líška, M.: Math indexer and searcher under the hood: fine-tuning query expansion and unification strategies. In: Proceedings of the 12th NTCIR Conference, pp. 331–337. NII Tokyo (2016). https://research.nii.ac.jp/ntcir/workshop/OnlineProceedings12/pdf/ntcir/MathIR/05-NTCIR12-MathIR-RuzickaM.pdf
Růžička, M., Sojka, P., Líška, M.: Math indexer and searcher under the hood: history and development of a winning strategy. In: Proceedings of the 11th NTCIR Conference, pp. 127–134 (2014) https://is.muni.cz/auth/publication/1201956/en
Zanibbi, R., Aizawa, A., Kohlhase, M., Ounis, I., Topic, G., Davila, K.: NTCIR-12 MathIR task overview. In: Proceedings of the 12th NTCIR, pp. 299–308. NII Tokyo (2016)
Zanibbi, R., Oard, D.W., Agarwal, A., Mansouri, B.: Overview of ARQMath 2020: CLEF lab on answer retrieval for questions on math. In: Arampatzis, A., et al. (eds.) CLEF 2020. LNCS, vol. 12260, pp. 169–193. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58219-7_15
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Lupták, D., Novotný, V., Štefánik, M., Sojka, P. (2021). WebMIaS on Docker. In: Kamareddine, F., Sacerdoti Coen, C. (eds) Intelligent Computer Mathematics. CICM 2021. Lecture Notes in Computer Science(), vol 12833. Springer, Cham. https://doi.org/10.1007/978-3-030-81097-9_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-81097-9_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-81096-2
Online ISBN: 978-3-030-81097-9
eBook Packages: Computer ScienceComputer Science (R0)