Literatur zur Informationserschließung
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© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft
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1Lange, C. ; Ion, P. ; Dimou, A. ; Bratsas, C. ; Sperber, W. ; Kohlhasel, M. ; Antoniou, I.: Getting mathematics towards the Web of Data : the case of the Mathematics Subject Classification.[Preprint].
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 according to their subjects. While it is widely used, its traditional, idiosyncratic conceptualization and representation requires custom implementations of search, query and annotation support. This did not encourage people to create and explore connections of mathematics to subjects of related domains (e.g. science), and it made the scheme hard to maintain. We have reimplemented the current version of 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. We present inthefield use cases and point out how escience applications can take advantage of the MSC LOD set. We conclude with a roadmap for bootstrapping the presence of mathematical and mathematicsbased science, technology, and engineering knowledge on the Web of Data, where it has been noticeably underrepresented so far, starting from MSC/SKOS as a seed.
Anmerkung: Vgl. auch den publizierten Beitrag u.d.T.: Bringing mathematics towards the Web of Data: the case of the Mathematics Subject Classification
Objekt: MSC ; SKOS ; Zentralblatt für Mathematik

2Lange, C. ; Ion, P. ; Dimou, A. ; Bratsas, C. ; Sperber, W. ; Kohlhasel, M. ; Antoniou, I.: Bringing mathematics towards the Web of Data : the case of the Mathematics Subject Classification.
In: 9th Extended Semantic Web Conference (ESWC), 20120527/20120531 in Hersonissos, Crete, Greece. Eds.: Elena Simperl et al. Berlin : Springer, 2012. S.763777.
(Lecture notes in computer science; 7295)
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 according to their subjects. While it is widely used, its traditional, idiosyncratic conceptualization and representation requires custom implementations of search, query and annotation support. This did not encourage people to create and explore connections of mathematics to subjects of related domains (e.g. science), and it made the scheme hard to maintain. We have reimplemented the current version of 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. We present inthefield use cases and point out how escience applications can take advantage of the MSC LOD set. We conclude with a roadmap for bootstrapping the presence of mathematical and mathematicsbased science, technology, and engineering knowledge on the Web of Data, where it has been noticeably underrepresented so far, starting from MSC/SKOS as a seed.
Inhalt: Vgl. auch den Preprint.
Objekt: MSC ; SKOS ; Zentralblatt für Mathematik