ePrints Repository

Reimplementing the Mathematics subject Classification (MSC) as a Linked Open Dataset

Lange, Christoph and Ion, Patrick and Dimou, Anastasia and Bratsas, Charalampos and Corneli, Joseph and Sperber, Wolfram and Kohlhase, Michael and Antoniou, Ioannis (2012) Reimplementing the Mathematics subject Classification (MSC) as a Linked Open Dataset. In: Intelligent Computer Mathematics. LNAI (7362). Springer Verlag, pp. 458-462.

PDF (283Kb)Published Version

URL of Published Version: http://arxiv.org/abs/1204.5086

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.

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, American Mathematical Society, University of Michigan, Web Science, Aristotle University Thessaloniki, Knowledge Media Institute, The Open University, FIZ Karlsruhe, Jacobs University Bremen
Copyright Holders:Christoph Lange, Patrick Ion, Anastasia Dimou, Charalampos Bratsas, Joseph Corneli, Wolfram Sperber, Michael Kohlhase, Ioannis Antoniou
ID Code:1240
Export Reference As : ASCII + BibTeX + Dublin Core + EndNote + HTML + METS + MODS + OpenURL Object + Reference Manager + Refer + RefWorks
Share this item :
QR Code for this page

Repository Staff Only: item control page