MIaS: Math-Aware Retrieval in Digital Mathematical Libraries

被引：11

作者：

Sojka, Petr ^{[1
]}

Ruzicka, Michal ^{[1
]}

Novotny, Vit ^{[1
]}

机构：

[1] Masaryk Univ, Fac Informat, Brno, Czech Republic

来源：

CIKM'18: PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT | 2018年

关键词：

Math Information Retrieval; Digital Mathematical Libraries;

D O I：

10.1145/3269206.3269233

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Digital mathematical libraries (DMLs) such as arXiv, Numdam, and EuDML contain mainly documents from STEM fields, where mathematical formulae are often more important than text for understanding. Conventional information retrieval (IR) systems are unable to represent formulae and they are therefore ill-suited for math information retrieval (MIR). To fill the gap, we have developed, and open-sourced the MIaS MIR system. MIaS is based on the fulltext search engine Apache Lucene. On top of text retrieval, MIaS also incorporates a set of tools for preprocessing mathematical formulae. We describe the design of the system and present speed, and quality evaluation results. We show that MIaS is both efficient, and effective, as evidenced by our victory in the NTCIR-11 Math-2 task.

引用

页码：1923 / 1926

页数：4

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