MIaS: Math-Aware Retrieval in Digital Mathematical Libraries

SOJKA, Petr, Michal RŮŽIČKA and Vít NOVOTNÝ. MIaS: Math-Aware Retrieval in Digital Mathematical Libraries. Online. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM '18). Torino, Italy: Association for Computing Machinery, 2018, p. 1923-1926. ISBN 978-1-4503-6014-2. Available from: https://dx.doi.org/10.1145/3269206.3269233.

Basic information

Original name

MIaS: Math-Aware Retrieval in Digital Mathematical Libraries

Authors

SOJKA, Petr (203 Czech Republic, guarantor, belonging to the institution), Michal RŮŽIČKA (203 Czech Republic, belonging to the institution) and Vít NOVOTNÝ (203 Czech Republic, belonging to the institution)

Edition

Torino, Italy, Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM '18), p. 1923-1926, 4 pp. 2018

Publisher

Association for Computing Machinery

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Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Italy

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

DOI Postprint

RIV identification code

RIV/00216224:14330/18:00100679

Organization unit

Faculty of Informatics

ISBN

978-1-4503-6014-2

DOI

http://dx.doi.org/10.1145/3269206.3269233

UT WoS

000455712300261

Keywords (in Czech)

vyhledávání matematiky; DML; EuDML; digitální matematické knihovny

Keywords in English

Math Information Retrieval; DML; EuDML; Digital Mathematical Libraries

Tags

digital mathematical libraries, digital mathematics library, EuDML, evaluation, information retrieval, math indexing and retrieval, math information retrieval, MathML, MIaS, query expansion, ranking, similarity search

Tags

International impact, Reviewed

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Abstract

V originále

Digital mathematical libraries (DMLs) such as arXiv, Numdam, and EuDML contain mainly documents from STEM fields, where mathematical formulae are often more important than text for understanding. Conventional information retrieval (IR) systems are unable to represent formulae and they are therefore ill-suited for math information retrieval (MIR). To fill the gap, we have developed, and open-sourced the MIaS MIR system. MIaS is based on the full-text search engine Apache Lucene. On top of text retrieval, MIaS also incorporates a set of tools for preprocessing mathematical formulae. We describe the design of the system and present speed, and quality evaluation results. We show that MIaS is both efficient, and effective, as evidenced by our victory in the NTCIR-11 Math-2 task.

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Links

MUNI/A/1213/2017, interní kód MU	Name: Aplikovaný výzkum na FI: bezpečnost počítačových systémů, SW architektury kritických infrastruktur, zpracování velkých dat, vizualizace dat a virtuální realita Investor: Masaryk University, Applied research at FI: computer systems security, SW architecture of critical infrastructure, big data processing, data visualization and virtual reality, Category A
1ET200190513, research and development project	Name: DML-CZ: Česká digitální matematická knihovna Investor: Academy of Sciences of the Czech Republic, DML-CZ: Czech Digital Mathematical Library
250503, interní kód MU	Name: The European Digital Mathematics Library (Acronym: EuDML) Investor: European Union

Files attached

1808.09224.pdf

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