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@inproceedings{1772932,
author = {Lupták, Dávid and Novotný, Vít and Štefánik, Michal and Sojka, Petr},
address = {Timisoara, Romania},
booktitle = {Intelligent Computer Mathematics: 14th International Conference, CICM 2021, Timisoara, Romania, July 26–31, 2021, Proceedings},
doi = {http://dx.doi.org/10.1007/978-3-030-81097-9_13},
edition = {LNAI 12833},
editor = {Fairouz Kamareddine and Claudio Sacerdotti-Coen},
keywords = {Math Information Retrieval; WebMIaS; MIaS; Docker Virtualization; Digital Mathematical Libraries; Math Web Search; EuDML; ARQMath},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Timisoara, Romania},
isbn = {978-3-030-81096-2},
pages = {159-164},
publisher = {Springer},
title = {WebMIaS on Docker: Deploying Math-Aware Search in a Single Line of Code},
url = {https://arxiv.org/abs/2106.00411},
year = {2021}
}
TY - JOUR
ID - 1772932
AU - Lupták, Dávid - Novotný, Vít - Štefánik, Michal - Sojka, Petr
PY - 2021
TI - WebMIaS on Docker: Deploying Math-Aware Search in a Single Line of Code
PB - Springer
CY - Timisoara, Romania
SN - 9783030810962
KW - Math Information Retrieval
KW - WebMIaS
KW - MIaS
KW - Docker Virtualization
KW - Digital Mathematical Libraries
KW - Math Web Search
KW - EuDML
KW - ARQMath
UR - https://arxiv.org/abs/2106.00411
N2 - 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.
ER -
LUPTÁK, Dávid, Vít NOVOTNÝ, Michal ŠTEFÁNIK and Petr SOJKA. WebMIaS on Docker: Deploying Math-Aware Search in a Single Line of Code. In Fairouz Kamareddine and Claudio Sacerdotti-Coen. \textit{Intelligent Computer Mathematics: 14th International Conference, CICM 2021, Timisoara, Romania, July 26–31, 2021, Proceedings}. LNAI 12833. Timisoara, Romania: Springer, 2021, p.~159-164. ISBN~978-3-030-81096-2. Available from: https://dx.doi.org/10.1007/978-3-030-81097-9\_{}13.
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