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
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7362)

Abstract

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Christoph Lange
    • 1
    • 2
    • 3
  • Patrick Ion
    • 4
    • 5
  • Anastasia Dimou
    • 5
  • Charalampos Bratsas
    • 5
  • Joseph Corneli
    • 6
  • Wolfram Sperber
    • 7
  • Michael Kohlhase
    • 1
  • Ioannis Antoniou
    • 5
  1. 1.Computer ScienceJacobs University BremenGermany
  2. 2.University of BremenGermany
  3. 3.School of Computer ScienceUniversity of BirminghamUK
  4. 4.American Mathematical SocietyUSA
  5. 5.Web ScienceAristotle University ThessalonikiGreece
  6. 6.Knowledge Media InstituteThe Open UniversityUK
  7. 7.FIZ KarlsruheGermany

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