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MIaS: Math-Aware Retrieval in Digital Mathematical Libraries

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SOJKA, Petr, Michal RŮŽIČKA and Vít NOVOTNÝ. MIaS: Math-Aware Retrieval in Digital Mathematical Libraries. 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, 4 pp. ISBN 978-1-4503-6014-2. doi:10.1145/3269206.3269233.
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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
Other information
Original language English
Type of outcome Proceedings paper
Field of Study Computer sciences, information science, bioinformatics
Country of publisher Italy
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW DOI Postprint
Organization unit Faculty of Informatics
ISBN 978-1-4503-6014-2
Doi http://dx.doi.org/10.1145/3269206.3269233
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
Changed by Changed by: doc. RNDr. Petr Sojka, Ph.D., učo 2378. Changed: 31/10/2018 21:40.
Abstract
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.
Links
1ET200190513, research and development projectName: DML-CZ: Česká digitální matematická knihovna
Investor: Academy of Sciences of the Czech Republic, Information society (National programme of research)
250503, internal MU codeName: The European Digital Mathematics Library (Acronym: EuDML)
Investor: European Union, Competitiveness and inovation framework programme
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1430425 /1 Novotný, V. 30. 10. 2018

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1808.09224.pdf   File version Novotný, V. 30. 10. 2018

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  • a concrete person RNDr. Michal Růžička, Ph.D., učo 143424
  • a concrete person doc. RNDr. Petr Sojka, Ph.D., učo 2378
  • a concrete person Mgr. Vít Novotný, učo 409729
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1808.09224.pdf

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