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 a Michal RŮŽIČKA

Základní údaje

Originální název

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

Autoři

LÍŠKA, Martin (703 Slovensko, domácí), Petr SOJKA (203 Česká republika, domácí) a Michal RŮŽIČKA (203 Česká republika, garant, domácí)

Vydání

New York, NY, USA, NWSearch '15: Proceedings of the First International Workshop on Novel Web Search Interfaces and Systems, od s. 7-9, 3 s. 2015

Nakladatel

ACM

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Austrálie

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

preprint workshop proceedings conference homepage workshop homepage

Kód RIV

RIV/00216224:14330/15:00083683

Organizační jednotka

Fakulta informatiky

ISBN

978-1-4503-3789-2

DOI

http://dx.doi.org/10.1145/2810355.2810359

Klíčová slova anglicky

algorithms; performance; query reformulation; query expansion; digital mathematical libraries; math indexing and retrieval; ranking

Štítky

best2

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 11. 11. 2015 09:52, RNDr. Michal Růžička, Ph.D.

Anotace

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.

Návaznosti

LG13010, projekt VaV

Název: Zastoupení ČR v European Research Consortium for Informatics and Mathematics (Akronym: ERCIM-CZ)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Zastoupení ČR v European Research Consortium for Informatics and Mathematics

MUNI/A/1206/2014, interní kód MU

Název: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity (Akronym: SKOMU)

Investor: Masarykova univerzita, Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

LÍŠKA, Martin, Petr SOJKA a 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, s. 7-9. ISBN 978-1-4503-3789-2. Dostupné z: 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 a 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, s.~7-9. ISBN~978-1-4503-3789-2. Dostupné z: https://dx.doi.org/10.1145/2810355.2810359.

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