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Digitisation, Representation, and Formalisation Digital Libraries of Mathematics

Authors: Adams, A.A.;

Digitisation, Representation, and Formalisation Digital Libraries of Mathematics

Abstract

{"references": ["[AA01] M. Athale and R. Athale. Exchange of mathematical information on the web: Present and Future. In Buchberger and Caprotti [BC01]. [AMS] AMS. Mathscinet. www.ams.org/mathscinet/. [APSC+01] A. Asperti, L. Padovani, C. Sacerdoti Coen, G. Ferruccio, , and I. Schena. Mathematical Knowledge Management in HELM. In Buchberger and Caprotti [BC01]. [APSCS01] A. Asperti, L. Padovani, C. Sacerdoti Coen, and I. Schena. HELM and the Semantic Math-Web. In Boulton and Jackson [BJ01]. [AS72] M. Abramowitz and I. A. Stegun. Handbook of mathematical functions with formulas, graphs and mathematical tables. Dover, 1972. [AZ99] M. Aigner and G. M. Ziegler. Proofs from THE BOOK. Springer, 1999. [Bab23] C. Babbage. On the Theoretical Principles of the Machinery for Calculating Tables. Edin Phtl Jrl, 8:122\u00e2\ufffd\ufffd128, 1823. [BB+96] B. Barras, S. Boutin, et al. The Coq Proof Assistant Reference Manual (Version 6.1). Technical report, INRIA, 1996. 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Roanes-Lozano, editors. Artificial Intelligence and Symbolic Computation, International Conference AISC 2000. Revised Papers. Springer LNCS 1930, 2001. [Dav01] J. Davenport. Mathematical Knowledge Representation (Extended Abstract). In Buchberger and Caprotti [BC01]. [Dew00a] M. Dewar. OpenMath: An Overview. ACM SIGSAM Bulletin, 34(2):2\u00e2\ufffd\ufffd5, June 2000. [Dew00b] M. Dewar. Special Issue on OPENMATH. ACM SIGSAM Bulletin, 34(2), June 2000. [DM97] M. Dauchet and Bidoit M., editors. Proc. Intl. Symp. on Theory and Practice of Software Development. Springer LNCS 1214, 1997. [Fro02] M. Froumentin. Mathematics on the Web with MathML. www.w3.org/People/maxf/papers/iamc.ps, 2002. [FTBM96] R. Fateman, T. Tokuyasu, B. P. Berman, and N. Mitchell. Optical Character Recognition and Parsing of Typeset Mathematics. Journal of Visual Communication and Image Representation, 7(1):2\u00e2\ufffd\ufffd15, March 1996. [GM93] M. J. C. Gordon and T. F. Melham, editors. Introduction to HOL. CUP, 1993. [Har71] M. Hart. Project gutenberg, 1971. www.gutenberg.org. [Har00] J. Harrison. Formal verification of floating point trigonometric functions. In Hunt and Johnson [HJ00]. [HJ00] W. A. Hunt and S. D. Johnson, editors. Formal Methods in Computer-Aided Design: Third International Conference FMCAD 2000. Springer-Verlag LNCS 1954, 2000. [JB01] M. Jones and N. Beagrie. Preservation Management of Digital Materials (A Handbook). The British Library, 2001. [Kea00] T. Kealey. More is less. Nature, 405(279), May 2000. [Knu79] D. Knuth. TEX and METAFONT: New directions in Typesetting. AMS and Digital Press, 1979. [Koh01] M. Kohlhase. OMDoc: Towards an Internet Standard for the Administration, Distribution and Teaching of Mathematical Knowledge. In Campbell and Roanes-Lozano [CRL01], pages 32\u00e2\ufffd\ufffd52. [Lam94] L. Lamport. LATEX: A Document Preparation System, 2/E. Addison Wesley, second edition, 1994. [Loz01] D. Lozier. The NIST Digital Library of Mathematical Functions Project. In Buchberger and Caprotti [BC01]. [McC62] J. et al. McCarthy. LISP 1.5 Programmer\u00e2\ufffd\ufffds Manual. MIT Press, 1962. [Mic01] G. O. Michler. How to Build a Prototype for a Distributed Mathematics Archive Library. In Buchberger and Caprotti [BC01]. [ML84] P. Martin-L\ufffd\u00a8of. Intuitionistic Type Theory. Bibliopolis, 1984. [Mos97] P. D. Mosses. CoFI: The Common Framework Initiative for Algebraic Specification and Development. In Dauchet and M. [DM97], pages 115\u00e2\ufffd\ufffd137. [MY01] B. R. Miller and A. Youssef. Technical Aspects of the Digital Library of Mathematical Functions Dreams and Realities. In Buchberger and Caprotti [BC01]. [Pau88] L. C. Paulson. The Foundation of a Generic Theorem Prover. J. Automated Reasoning, 5:363\u00e2\ufffd\ufffd396, 1988. [SOR] N. Shankar, S. Owre, and J. M. Rushby. The PVS Proof Checker: A Reference Manual. Computer Science Lab, SRI International. [Try80] A. Trybulec. 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One of the main tasks of the mathematical knowledge management community must surely be to enhance access to mathematics on digital systems. In this paper we present a spectrum of approaches to solving the various problems inherent in this task, arguing that a variety of approaches is both necessary and useful. The main ideas presented are about the differences between digitised mathematics, digitally represented mathematics and formalised mathematics. Each has its part to play in managing mathematical information in a connected world. Digitised material is that which is embodied in a computer file, accessible and displayable locally or globally. Represented material is digital material in which there is some structure (usually syntactic in nature) which maps to the mathematics contained in the digitised information. Formalised material is that in which both the syntax and semantics of the represented material, is automatically accessible. Given the range of mathematical information to which access is desired, and the limited resources available for managing that information, we must ensure that these resources are applied to digitise, form representations of or formalise, existing and new mathematical information in such a way as to extract the most benefit from the least expenditure of resources. We also analyse some of the various social and legal issues which surround the practical tasks. This record was migrated from the OpenDepot repository service in June, 2017 before shutting down.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
Green