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Bringing Mathematics to the Web of Data: the case of the Mathematics subject classification

Lange, Christoph and Ion, Patrick and Dimou, Anastasia and Bratsas, Charalampos and Sperber, Wolfram and Kohlhase, Michael and Antoniou, Ioannis (2012) Bringing Mathematics to the Web of Data: the case of the Mathematics subject classification. In: The Semantic Web. Lecture Notes in Computer Science (7295). Springer, pp. 763-777.

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URL of Published Version: http://kwarc.info/clange/pubs/eswc2012-msc-skos.pdf

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.

Type of Work:Book Section
Date:2012 (Publication)
School/Faculty:Colleges (2008 onwards) > College of Engineering & Physical Sciences
Department:School of Computer Science
Subjects:QA Mathematics
QA75 Electronic computers. Computer science
Z665 Library Science. Information Science
Institution:University of Birmingham, Jacobs University Bremen, Web Science, Aristotle University Thessaloniki, FIZ Karlsruhe, University of Michigan, Mathematical Reviews, American Mathematical Society
Copyright Holders:Springer
ID Code:1244
Refereed:YES
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