Efficient Algorithm for Math Formula Semantic Search

Shunsuke OHASHI  Giovanni Yoko KRISTIANTO  Goran TOPIC  Akiko AIZAWA  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E99-D   No.4   pp.979-988
Publication Date: 2016/04/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2015DAP0023
Type of Manuscript: Special Section PAPER (Special Section on Data Engineering and Information Management)
Category: 
Keyword: 
tree hashing,  MathML,  mathematical formula search,  information retrieval,  

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Summary: 
Mathematical formulae play an important role in many scientific domains. Regardless of the importance of mathematical formula search, conventional keyword-based retrieval methods are not sufficient for searching mathematical formulae, which are structured as trees. The increasing number as well as the structural complexity of mathematical formulae in scientific articles lead to the necessity for large-scale structure-aware formula search techniques. In this paper, we formulate three types of measures that represent distinctive features of semantic similarity of math formulae, and develop efficient hash-based algorithms for the approximate calculation. Our experiments using NTCIR-11 Math-2 Task dataset, a large-scale test collection for math information retrieval with about 60-million formulae, show that the proposed method improves the search precision while also keeps the scalability and runtime efficiency high.