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

D 2015

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

LÍŠKA, Martin, Petr SOJKA and Michal RŮŽIČKA

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

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Australia

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

preprint workshop proceedings conference homepage workshop homepage

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

Abstract

V originále

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 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/1206/2014, interní kód MU

Name: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity (Acronym: SKOMU)

Investor: Masaryk University, Category A

Citovat

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. ISBN 978-1-4503-3789-2. Available from: https://dx.doi.org/10.1145/2810355.2810359.

@inproceedings{1309755,
   author = {Líška, Martin and Sojka, Petr and Růžička, Michal},
   address = {New York, NY, USA},
   booktitle = {NWSearch '15: Proceedings of the First International Workshop on Novel Web Search Interfaces and Systems},
   doi = {http://dx.doi.org/10.1145/2810355.2810359},
   editor = {Davood Rafiei, Katsumi Tanaka},
   keywords = {algorithms; performance; query reformulation; query expansion; digital mathematical libraries; math indexing and retrieval; ranking},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {New York, NY, USA},
   isbn = {978-1-4503-3789-2},
   pages = {7-9},
   publisher = {ACM},
   title = {Combining Text and Formula Queries in Math Information Retrieval: Evaluation of Query Results Merging Strategies},
   url = {http://arxiv.org/abs/1508.01929},
   year = {2015}
}

TY  - JOUR
ID  - 1309755
AU  - Líška, Martin - Sojka, Petr - Růžička, Michal
PY  - 2015
TI  - Combining Text and Formula Queries in Math Information Retrieval: Evaluation of Query Results Merging Strategies
PB  - ACM
CY  - New York, NY, USA
SN  - 9781450337892
KW  - algorithms
KW  - performance
KW  - query reformulation
KW  - query expansion
KW  - digital mathematical libraries
KW  - math indexing and retrieval
KW  - ranking
UR  - http://arxiv.org/abs/1508.01929
L2  - https://dl.acm.org/citation.cfm?id=2810355&preflayout=flat
N2  - 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.
ER  -

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. \textit{NWSearch '15: Proceedings of the First International Workshop on Novel Web Search Interfaces and Systems}. New York, NY, USA: ACM, 2015, p.~7-9. ISBN~978-1-4503-3789-2. Available from: https://dx.doi.org/10.1145/2810355.2810359.

Detailed Information on Publication Record