Reimplementing the Mathematics Subject Classification (MSC) as a Linked Open Dataset

Christoph Lange, Patrick Ion, Anastasia Dimou, Charalampos Bratsas, Joseph Corneli, Wolfram Sperber, Michael Kohlhase, Ioannis Antoniou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

The Mathematics Subject Classification (MSC) is a widely used scheme for classifying documents in mathematics by subject. Its traditional, idiosyncratic conceptualization and representation makes the scheme hard to maintain and requires custom implementations of search, query and annotation support. This limits uptake e.g. in semantic web technologies in general and the creation and exploration of connections between mathematics and related domains (e.g. science) in particular.

This paper presents the new official implementation of the MSC2010 as a Linked Open Dataset, building on SKOS (Simple Knowledge Organization System). We provide a brief overview of the dataset’s structure, its available implementations, and first applications.

First author supported by DFG project I1-[OntoSpace] of SFB/TR 8 “Spatial Cognition” and EPSRC grant “EP/J007498/1 – Formal representation and proof for cooperative games”; second author by the University of Michigan.
Original languageEnglish
Title of host publicationIntelligent Computer Mathematics
Subtitle of host publication11th International Conference, AISC 2012, 19th Symposium, Calculemus 2012, 5th International Workshop, DML 2012, 11th International Conference, MKM 2012, Systems and Projects, Held as Part of CICM 2012, Bremen, Germany, July 8-13, 2012. Proceedings
PublisherSpringer Berlin Heidelberg
Number of pages5
ISBN (Electronic)978-3-642-31374-5
ISBN (Print)978-3-642-31373-8
Publication statusPublished - 2012

Publication series

NameLecture Notes in Computer Science (LNCS)
PublisherSpringer Berlin Heidelberg
ISSN (Print)0302-9743


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