Reimplementing the mathematics subject classification (MSC) as a linked open dataset

Authors:
Christoph Lange;Patrick Ion;Anastasia Dimou;Charalampos Bratsas;Joseph Corneli;Wolfram Sperber;Michael Kohlhase;Ioannis Antoniou
Affiliations:
Computer Science, Jacobs University Bremen, Germany, University of Bremen, Germany, School of Computer Science, University of Birmingham, UK;American Mathematical Society, USA, Web Science, Aristotle University Thessaloniki, Greece;Web Science, Aristotle University Thessaloniki, Greece;Web Science, Aristotle University Thessaloniki, Greece;Knowledge Media Institute, The Open University, UK;FIZ Karlsruhe, Germany;Computer Science, Jacobs University Bremen, Germany;Web Science, Aristotle University Thessaloniki, Greece
Venue:
CICM'12 Proceedings of the 11th international conference on Intelligent Computer Mathematics
Year:
2012

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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.