D 2014

Math Indexer and Searcher under the Hood: History and Development of a Winning Strategy

RŮŽIČKA, Michal, Petr SOJKA and Martin LÍŠKA

Basic information

Original name

Math Indexer and Searcher under the Hood: History and Development of a Winning Strategy

Authors

RŮŽIČKA, Michal (203 Czech Republic, belonging to the institution), Petr SOJKA (203 Czech Republic, guarantor, belonging to the institution) and Martin LÍŠKA (703 Slovakia, belonging to the institution)

Edition

Tokyo, Proceedings of the 11th NTCIR Conference on Evaluation of Information Access Technologies, p. 127-134, 8 pp. 2014

Publisher

National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430 Japan

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Japan

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

storage medium (CD, DVD, flash disk)

RIV identification code

RIV/00216224:14330/14:00076746

Organization unit

Faculty of Informatics

ISBN

978-4-86049-065-2

Keywords (in Czech)

MIaS;MathML;indexování;vyhledávání;kanonické MathML;EuDML;digitální knihovny;informační systémy;indexování hledání matematického obsahu včetně formulí;hodnocení relevance a podobnosti matematických článků;dolování v textech;DML-CZ;digitální matematická knihovna;sémantika

Keywords in English

MIaS;MathML;math indexing and retrieval; canonical MathML;EuDML;mathematical digital libraries; information systems; information retrieval; mathematical content search; document ranking of mathematical papers; math text mining; WebMIaS;TeX; Lucene

Tags

Tags

International impact
Změněno: 2/6/2016 11:38, RNDr. Michal Růžička, Ph.D.

Abstract

V originále

This paper describes and summarizes experiences of Masaryk University team MIRMU with the mathematical search performed for the NTCIR pilot Math Task. Our approach is the similarity search based on MathML Canonicalization and second generation of scalable full text search engine Math Indexer and Searcher (MIaS) with attested state-of-the-art information retrieval techniques. The capability of MIaS system in terms of the math query notation, normalization, combining math with textual query tokens was deployed by submitting multiple runs with four query notations provided, and with results merged from multiple queries. The analysis of the evaluation results shows that the system performs best using TeX queries that are translated and canonicalized to Content MathML.

Links

LG13010, research and development project
Name: Zastoupení ČR v European Research Consortium for Informatics and Mathematics (Acronym: ERCIM-CZ)
Investor: Ministry of Education, Youth and Sports of the CR
MUNI/A/0765/2013, interní kód MU
Name: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity (Acronym: SKOMU)
Investor: Masaryk University, Category A