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Combining Text and Formula Queries in Math Information Retrieval: Evaluation of Query Results ...

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LÍŠKA, Martin, Petr SOJKA and Michal RŮŽIČKA. Combining Text and Formula Queries in Math Information Retrieval: Evaluation of Query Results Merging Strategies. In Davood Rafiei, Katsumi Tanaka. NWSearch '15: Proceedings of the First International Workshop on Novel Web Search Interfaces and Systems. New York, NY, USA: ACM, 2015. p. 7-9, 3 pp. ISBN 978-1-4503-3789-2. doi:10.1145/2810355.2810359.
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Basic information
Original name Combining Text and Formula Queries in Math Information Retrieval: Evaluation of Query Results Merging Strategies
Authors LÍŠKA, Martin (703 Slovakia, belonging to the institution), Petr SOJKA (203 Czech Republic, belonging to the institution) and Michal RŮŽIČKA (203 Czech Republic, guarantor, belonging to the institution).
Edition New York, NY, USA, NWSearch '15: Proceedings of the First International Workshop on Novel Web Search Interfaces and Systems, p. 7-9, 3 pp. 2015.
Publisher ACM
Other information
Original language English
Type of outcome article in proceedings
Field of Study Informatics
Country of publisher Australia
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW conference homepage workshop homepage preprint workshop proceedings
RIV identification code RIV/00216224:14330/15:00083683
Organization unit Faculty of Informatics
ISBN 978-1-4503-3789-2
Doi http://dx.doi.org/10.1145/2810355.2810359
Keywords in English algorithms; performance; query reformulation; query expansion; digital mathematical libraries; math indexing and retrieval; ranking
Tags best1
Tags International impact, Reviewed
Changed by Changed by: RNDr. Michal Růžička, učo 143424. Changed: 11. 11. 2015 09:52.
Abstract
Specific to Math Information Retrieval is combining text with mathematical formulae both in documents and in queries. Rigorous evaluation of query expansion and merging strategies combining math and standard textual keyword terms in a query are given. It is shown that techniques similar to those known from textual query processing may be applied in math information retrieval as well, and lead to a cutting edge performance. Striping and merging partial results from subqueries is one technique that improves results measured by information retrieval evaluation metrics like Bpref.
Links
LG13010, research and development projectName: Zastoupení ČR v European Research Consortium for Informatics and Mathematics (Acronym: ERCIM-CZ)
Investor: Ministry of Education, Youth and Sports of the CR, INGO II
MUNI/A/1206/2014, internal MU codeName: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity (Acronym: SKOMU)
Investor: Masaryk University, Grant Agency of the Masaryk University, Category A
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