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Mathematical Knowledge Management

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Cover of 'Mathematical Knowledge Management'

Table of Contents

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    Book Overview
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    Chapter 1 Digitisation, Representation, and Formalisation Digital Libraries of Mathematics
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    Chapter 2 MKM from Book to Computer: A Case Study
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    Chapter 3 From Proof-Assistants to Distributed Libraries of Mathematics: Tips and Pitfalls
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    Chapter 4 Managing Digital Mathematical Discourse
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    Chapter 5 NAG Library Documentation
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    Chapter 6 On the Roles of LATEX and MathML in Encoding and Processing Mathematical Expressions
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    Chapter 7 Problems and Solutions for Markup for Mathematical Examples and Exercises
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    Chapter 8 An Annotated Corpus and a Grammar Model of Theorem Description
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    Chapter 9 A Query Language for a Metadata Framework about Mathematical Resources
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    Chapter 10 Information Retrieval in MML
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    Chapter 11 An Expert System for the Flexible Processing of X ML -Based Mathematical Knowledge in a P ROLOG —Environment
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    Chapter 12 Towards Collaborative Content Management and Version Control for Structured Mathematical Knowledge
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    Chapter 13 On the Integrity of a Repository of Formalized Mathematics
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    Chapter 14 A Theoretical Analysis of Hierarchical Proofs
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    Chapter 15 Comparing Mathematical Provers
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    Chapter 16 Translating Mizar for First Order Theorem Provers
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    Chapter 17 The Mathematical Semantic Web
Attention for Chapter 8: An Annotated Corpus and a Grammar Model of Theorem Description
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Chapter title
An Annotated Corpus and a Grammar Model of Theorem Description
Chapter number 8
Book title
Mathematical Knowledge Management
Published by
Springer Berlin Heidelberg, February 2003
DOI 10.1007/3-540-36469-2_8
Book ISBNs
978-3-54-000568-1, 978-3-54-036469-6

Yusuke Baba, Masakazu Suzuki

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Researcher 1 25%
Unknown 2 50%
Readers by discipline Count As %
Mathematics 1 25%
Social Sciences 1 25%
Unknown 2 50%