Bringing mathematics to the web of data: the case of the mathematics subject classification

Authors:
Christoph Lange;Patrick Ion;Anastasia Dimou;Charalampos Bratsas;Wolfram Sperber;Michael Kohlhase;Ioannis Antoniou
Affiliations:
Computer Science, Jacobs University, Bremen, Germany,SFB TR/8, University of Bremen, Germany;Mathematical Reviews, American Mathematical Society, USA,Web Science, Aristotle University, Thessaloniki, Greece;Web Science, Aristotle University, Thessaloniki, Greece;Web Science, Aristotle University, Thessaloniki, Greece;FIZ, Karlsruhe, Germany;Computer Science, Jacobs University, Bremen, Germany;Web Science, Aristotle University, Thessaloniki, Greece
Venue:
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
Year:
2012

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Abstract

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.