| SOJKA, Petr and Martin LÍŠKA. Indexing and Searching Mathematics in Digital Libraries -- Architecture, Design and Scalability Issues. In James H. Davenport, William M. Farmer, Josef Urban, Florian Rabe. Intelligent Computer Mathematics Lecture Notes in Computer Science, 2011, Volume 6824/2011. Berlin / Heidelberg: Springer, 2011, p. 228-243. ISBN 978-3-642-22672-4. Available from: https://dx.doi.org/10.1007/978-3-642-22673-1_16. |
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@inproceedings{945754,
author = {Sojka, Petr and Líška, Martin},
address = {Berlin / Heidelberg},
booktitle = {Intelligent Computer Mathematics Lecture Notes in Computer Science, 2011, Volume 6824/2011},
doi = {http://dx.doi.org/10.1007/978-3-642-22673-1_16},
editor = {James H. Davenport, William M. Farmer, Josef Urban, Florian Rabe},
keywords = {math indexing and retrieval; mathematical digital libraries; information systems; information retrieval; mathematical content search; document ranking of mathematical papers; math text mining; MIaS; WebMIaS},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Berlin / Heidelberg},
isbn = {978-3-642-22672-4},
pages = {228-243},
publisher = {Springer},
title = {Indexing and Searching Mathematics in Digital Libraries -- Architecture, Design and Scalability Issues},
url = {http://dx.doi.org/10.1007/978-3-642-22673-1_16},
year = {2011}
}
TY - JOUR
ID - 945754
AU - Sojka, Petr - Líška, Martin
PY - 2011
TI - Indexing and Searching Mathematics in Digital Libraries -- Architecture, Design and Scalability Issues
PB - Springer
CY - Berlin / Heidelberg
SN - 9783642226724
KW - math indexing and retrieval
KW - mathematical digital libraries
KW - information systems
KW - information retrieval
KW - mathematical content search
KW - document ranking of mathematical papers
KW - math text mining
KW - MIaS
KW - WebMIaS
UR - http://dx.doi.org/10.1007/978-3-642-22673-1_16
N2 - This paper surveys approaches and systems for searching mathematical formulae in mathematical corpora and on the web. The design and architecture of our MIaS (Math Indexer and Searcher) system is presented, and our design decisions are discussed in detail. An approach based on Presentation MathML using a similarity of math subformulae is suggested and verified by implementing it as a math-aware search engine based on the state-of-the-art system, Apache Lucene. Scalability issues were checked based on 324,000 real scientific documents from arXiv archive with 112 million mathematical formulae. More than two billions MathML subformulae were indexed using our Solr-compatible Lucene extension.
ER -
SOJKA, Petr and Martin LÍŠKA. Indexing and Searching Mathematics in Digital Libraries -- Architecture, Design and Scalability Issues. In James H. Davenport, William M. Farmer, Josef Urban, Florian Rabe. \textit{Intelligent Computer Mathematics Lecture Notes in Computer Science, 2011, Volume 6824/2011}. Berlin / Heidelberg: Springer, 2011, p.~228-243. ISBN~978-3-642-22672-4. Available from: https://dx.doi.org/10.1007/978-3-642-22673-1\_{}16.
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