MIaS: Math-Aware Retrieval in Digital Mathematical Libraries

Varování

Publikace nespadá pod Ekonomicko-správní fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.
Autoři

SOJKA Petr RŮŽIČKA Michal NOVOTNÝ Vít

Rok publikování 2018
Druh Článek ve sborníku
Konference Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM '18)
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
www
Doi http://dx.doi.org/10.1145/3269206.3269233
Klíčová slova Math Information Retrieval; DML; EuDML; Digital Mathematical Libraries
Přiložené soubory
Popis 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 full-text 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.
Související projekty:

Používáte starou verzi internetového prohlížeče. Doporučujeme aktualizovat Váš prohlížeč na nejnovější verzi.