Similarity Search for Mathematics: Masaryk University team at the NTCIR-10 Math Task

• Main Authors: Líška Martin, Sojka Petr, Růžička Michal
• Format: Article in Journal/Newspaper
• Language: English
• Published: National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430 Japan 2013
• Subjects: math indexing and retrieval; mathematical digital libraries; information systems; information retrieval; mathematical content search; document ranking of mathematical papers; math text mining; WebMIaS; MIaS;TeX; Lucene; 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; DML
• Online Access: https://is.muni.cz/publication/1112631

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 enhanced full text search utilizing attested state-of-the-art techniques and implementations. The variability of used Math Indexer and Searcher (MIaS) system in terms of the math query notation was tested by submitting multiple runs with four query notations provided. The analysis of the evaluation results shows that the system performs best using TeX queries that are translated to combined Presentation-Content MathML.