The Art of Mathematics Retrieval

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Authors

SOJKA Petr LÍŠKA Martin

Year of publication 2011
Type Article in Proceedings
Conference Proceedings of the 2011 ACM Symposium on Document Engineering
MU Faculty or unit

Faculty of Informatics

Citation
Web
Doi http://dx.doi.org/10.1145/2034691.2034703
Field Informatics
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
Attached files
Description The design and architecture of MIaS (Math Indexer and Searcher), a system for mathematics retrieval is presented, and design decisions are discussed. We argue for an approach based on Presentation MathML using a similarity of math subformulae. The system was implemented as a math-aware search engine based on the state-of-the-art system Apache Lucene. Scalability issues were checked against more than 400,000 arXiv documents with 158 million mathematical formulae. Almost three billion MathML subformulae were indexed using a Solr-compatible Lucene.
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