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Technical Aspects of the Digital Library of Mathematical Functions

Authors:

Bruce R. Miller,

Abdou YoussefAuthors Info & Claims

Annals of Mathematics and Artificial Intelligence, Volume 38, Issue 1-3

Pages 121 - 136

https://doi.org/10.1023/A:1022967814992

Published: 01 May 2003 Publication History

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Abstract

The NIST Digital Library of Mathematical Functions (DLMF) Project, begun in 1997, is preparing a handbook and Web site intended for wide communities of users. The contents are primarily mathematical formulas, graphs, methods of computation, references, and links to software. The task of developing a Web handbook of this nature presents several technical challenges. We describe the goals of the Digital Library of Mathematical Functions Project and the realities that constrain those goals. We propose practical initial solutions, in order to ease the authoring of adaptable content: a LaTeX class which encourages a modestly semantic markup style; and a mathematical search engine that adapts a text search engine to the task.

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Gao SNg Y(2023)Recommending Answers to Math Questions Based on KL-Divergence and Approximate XML Tree MatchingProceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region10.1145/3624918.3625337(21-31)Online publication date: 26-Nov-2023
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Amador BLangsenkamp MDey AShah AZanibbi RChen HDuh WHuang HKato MMothe JPoblete B(2023)Searching the ACL Anthology with Math Formulas and TextProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591803(3110-3114)Online publication date: 19-Jul-2023
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Greiner-Petter ASchubotz MBreitinger CScharpf PAizawa AGipp B(2023)Do the Math: Making Mathematics in Wikipedia ComputableIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2022.319526145:4(4384-4395)Online publication date: 1-Apr-2023
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cover image Annals of Mathematics and Artificial Intelligence

Annals of Mathematics and Artificial Intelligence Volume 38, Issue 1-3

May 2003

223 pages

ISSN:1012-2443

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Kluwer Academic Publishers

United States

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Published: 01 May 2003

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Gao SNg Y(2023)Recommending Answers to Math Questions Based on KL-Divergence and Approximate XML Tree MatchingProceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region10.1145/3624918.3625337(21-31)Online publication date: 26-Nov-2023
https://dl.acm.org/doi/10.1145/3624918.3625337
Amador BLangsenkamp MDey AShah AZanibbi RChen HDuh WHuang HKato MMothe JPoblete B(2023)Searching the ACL Anthology with Math Formulas and TextProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591803(3110-3114)Online publication date: 19-Jul-2023
https://dl.acm.org/doi/10.1145/3539618.3591803
Greiner-Petter ASchubotz MBreitinger CScharpf PAizawa AGipp B(2023)Do the Math: Making Mathematics in Wikipedia ComputableIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2022.319526145:4(4384-4395)Online publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1109/TPAMI.2022.3195261
Yuan KGao LJiang ZTang Z(2021)Formula Citation Graph Based Mathematical Information RetrievalDocument Analysis and Recognition – ICDAR 202110.1007/978-3-030-86549-8_40(631-647)Online publication date: 5-Sep-2021
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Song YChen X(2021)Searching for Mathematical Formulas Based on Graph Representation LearningIntelligent Computer Mathematics10.1007/978-3-030-81097-9_11(137-152)Online publication date: 26-Jul-2021
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Dai YChen LZhang Z(2020)An N-ary Tree-based Model for Similarity Evaluation on Mathematical Formulae2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC42975.2020.9283495(2578-2584)Online publication date: 11-Oct-2020
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Nishizawa GLiu JDiaz YDmello AZhong WZanibbi R(2020)MathSeer: A Math-Aware Search Interface with Intuitive Formula Editing, Reuse, and LookupAdvances in Information Retrieval10.1007/978-3-030-45442-5_60(470-475)Online publication date: 14-Apr-2020
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Zhong WRohatgi SWu JGiles CZanibbi R(2020)Accelerating Substructure Similarity Search for Formula RetrievalAdvances in Information Retrieval10.1007/978-3-030-45439-5_47(714-727)Online publication date: 14-Apr-2020
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Zhong WZanibbi R(2019)Structural Similarity Search for Formulas Using Leaf-Root Paths in Operator SubtreesAdvances in Information Retrieval10.1007/978-3-030-15712-8_8(116-129)Online publication date: 14-Apr-2019
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Jiang ZGao LYuan KGao ZTang ZLiu XCuzzocrea AAllan JPaton NSrivastava DAgrawal RBroder AZaki MCandan SLabrinidis ASchuster AWang H(2018)Mathematics Content Understanding for Cyberlearning via Formula Evolution MapProceedings of the 27th ACM International Conference on Information and Knowledge Management10.1145/3269206.3271694(37-46)Online publication date: 17-Oct-2018
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