JOURNAL ARTICLE

Mathematical Information Retrieval: Search and Question Answering

Richard ZanibbiBehrooz MansouriAnurag Agarwal

Year: 2025 Journal:   Foundations and Trends® in Information Retrieval Vol: 19 (1-2)Pages: 1-190   Publisher: Now Publishers

Abstract

Mathematical information is essential for technical work, but its creation, interpretation, and search are challenging. To help address these challenges, researchers have developed multimodal search engines and mathematical question answering systems. This monograph begins with a simple framework characterizing the information tasks that people and systems perform as we work to answer math-related questions. The framework is used to organize and relate the other core topics of the monograph, including interactions between people and systems, representing math formulas in sources, and evaluation. We close by addressing some key questions and presenting directions for future work. This monograph is intended for students, instructors, and researchers interested in systems that help us find and use mathematical information.

Keywords:
Information retrieval Question answering Computer science Human–computer information retrieval Cognitive models of information retrieval Search engine

Metrics

5
Cited By
24.10
FWCI (Field Weighted Citation Impact)
90
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Intelligent Tutoring Systems and Adaptive Learning
Physical Sciences →  Computer Science →  Artificial Intelligence
Mathematics, Computing, and Information Processing
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

Related Documents

© 2026 ScienceGate Book Chapters — All rights reserved.