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. p. 1923-1926. ISBN 978-1-4503-6014-2. 2018.
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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
Country of publisher Italy
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL URL
RIV identification code RIV/00216224:14330/18:00100679
Organization Fakulta informatiky – Repository – Repository
ISBN 978-1-4503-6014-2
UT WoS 000455712300261
Keywords (in Czech) vyhledávání matematiky; DML; EuDML; digitální matematické knihovny
Keywords in English Math Information Retrieval; DML; EuDML; Digital Mathematical Libraries
Links MUNI/A/1213/2017, interní kód Repo. 1ET200190513, research and development project. 250503, interní kód Repo.
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 6/9/2020 04:24.
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.
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  • a concrete person RNDr. Daniel Jakubík, uco 139797
  • a concrete person Mgr. Jolana Surýnková, uco 220973
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1808.09224.pdf   File version 15/8/2020

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https://repozitar.cz/auth/repo/30833/870636/?info
Address within Manager for the users outside IS
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Uploaded/Created
Sat 15/8/2020 02:59

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Right to read
  • anyone on the Internet
Right to upload
 
Right to administer:
  • a concrete person Mgr. Lucie Vařechová, uco 106253
  • a concrete person RNDr. Daniel Jakubík, uco 139797
  • a concrete person Mgr. Jolana Surýnková, uco 220973
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