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

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 vari...

Full description

Bibliographic Details
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
Description
Summary: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.

Similar Items