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

C Lange, P Ion, A Dimou, C Bratsas, W Sperber… - The Semantic Web …, 2012 - Springer
The Semantic Web: Research and Applications: 9th Extended Semantic Web …, 2012Springer
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 …
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.
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