Bringing Mathematics to the Web of Data: The Case of the Mathematics Subject Classification

  • Christoph Lange
  • Patrick Ion
  • Anastasia Dimou
  • Charalampos Bratsas
  • Wolfram Sperber
  • Michael Kohlhase
  • Ioannis Antoniou
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7295)


The Mathematics Subject Classification (MSC), maintained by the American Mathematical Society’s Mathematical Reviews (MR) and FIZ Karlsruhe’s Zentralblatt für Mathematik (Zbl), is a scheme for classifying publications in mathematics. While it is widely used, its traditional, idiosyncratic conceptualization and representation did not encourage wide reuse on the Web, and it made the scheme hard to maintain. We have reimplemented its current version MSC2010 as a Linked Open Dataset using SKOS, and our focus is concentrated on turning it into the new MSC authority. This paper explains the motivation and details of our design considerations and how we realized them in the implementation, presents use cases, and future applications.


Digital Library Link Data Concept Scheme SPARQL Query Link Open Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Christoph Lange
    • 1
    • 2
  • Patrick Ion
    • 3
    • 4
  • Anastasia Dimou
    • 4
  • Charalampos Bratsas
    • 4
  • Wolfram Sperber
    • 5
  • Michael Kohlhase
    • 1
  • Ioannis Antoniou
    • 4
  1. 1.Computer ScienceJacobs UniversityBremenGermany
  2. 2.SFB TR/8University of BremenGermany
  3. 3.Mathematical ReviewsAmerican Mathematical SocietyUSA
  4. 4.Web ScienceAristotle UniversityThessalonikiGreece
  5. 5.FIZKarlsruheGermany

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