WebMIaS on Docker: Deploying Math-Aware Search in a Single Line
of Code

D 2021

WebMIaS on Docker: Deploying Math-Aware Search in a Single Line of Code

LUPTÁK, Dávid, Vít NOVOTNÝ, Michal ŠTEFÁNIK and Petr SOJKA

Basic information

Original name

WebMIaS on Docker: Deploying Math-Aware Search in a Single Line of Code

Authors

LUPTÁK, Dávid (703 Slovakia, belonging to the institution), Vít NOVOTNÝ (203 Czech Republic, belonging to the institution), Michal ŠTEFÁNIK (703 Slovakia, belonging to the institution) and Petr SOJKA (203 Czech Republic, guarantor, belonging to the institution)

Edition

LNAI 12833. Timisoara, Romania, Intelligent Computer Mathematics: 14th International Conference, CICM 2021, Timisoara, Romania, July 26–31, 2021, Proceedings, p. 159-164, 6 pp. 2021

Publisher

Springer

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Romania

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

arXiv preprint EasyChair preprint Conference URL Proceedings PDF

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14330/21:00121686

Organization unit

Faculty of Informatics

ISBN

978-3-030-81096-2

ISSN

DOI

http://dx.doi.org/10.1007/978-3-030-81097-9_13

UT WoS

000707054900013

Keywords (in Czech)

Math Information Retrieval; WebMIaS; MIaS; Docker Virtualization; Digital Mathematical Libraries; Math Web Search; EuDML; ARQMath

Keywords in English

Math Information Retrieval; WebMIaS; MIaS; Docker Virtualization; Digital Mathematical Libraries; Math Web Search; EuDML; ARQMath

Abstract

V originále

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.

Links

MUNI/A/1573/2020, interní kód MU

Name: Aplikovaný výzkum: vyhledávání, analýza a vizualizace rozsáhlých dat, zpracování přirozeného jazyka, umělá inteligence pro analýzu biomedicínských obrazů.

Investor: Masaryk University

Citovat

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. 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.

@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.

Detailed Information on Publication Record