Search (9 results, page 1 of 1)

  • × author_ss:"Sperber, W."
  • × year_i:[2010 TO 2020}
  1. Göbel, S.; Sperber, W.: Bibliographische Klassifikationen in der Mathematik : Werkzeuge der inhaltlichen Erschließung und für das Retrieval (2010) 0.04
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    Field
    Mathematik
  2. Sperber, W.; Wegner, B.: Content Analysis in der Mathematik : Erschließung und Retrieval mathematischer Publikationen (2010) 0.03
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    Abstract
    Die traditionellen Informationsdienste in den Wissenschaften stehen angesichts der Publikationsflut und der Entwicklung der elektronischen Medien gerade auch in der Mathematik vor großen Herausforderungen. Es müssen neue Konzepte für eine erweiterte qualitativ hochwertige Erschließung entwickelt werden, die weitgehend automatisierbar sind. In dem Beitrag werden die Konzepte zur Texterschließung in der Mathematik analysiert und Methoden entwickelt, die neue Möglichkeiten für das Retrieval eröffnen. Der Beitrag schließt mit einem Ausblick auf die Möglichkeiten zur Formel-Analyse.
    Field
    Mathematik
    Object
    Zentralblatt für Mathematik
  3. Greuel, G.-M.; Sperber, W.: swMATH - ein neuer Service für die Suche nach mathematischer Software (2013) 0.02
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    Abstract
    Anwendungen der Mathematik ohne Computer, Software und Simulationen sind heute eigentlich kaum mehr vorstellbar, und die Entwicklung von Algorithmen und Softwarelösungen macht einen stetig wachsenden Teil der mathematischen Forschung aus. Aber anders als mathematische Literatur, wird mathematische Software nicht systematisch in Bibliotheken vorgehalten bzw. elektronisch nachgewiesen. Der vorliegende Beitrag stellt mit der open access Datenbank swMATH (http://www.swmath.org) einen neuen Ansatz vor, der bereits als Prototyp existiert und genutzt werden kann. Das Projekt swMATH wird von der Leibniz-Gemeinschaft gefördert und vom Mathematischen Forschungsinstitut Oberwolfach in Kooperation mit FIZ Karlsruhe bearbeitet. Fachliche Unterstützung erhält das Projekt vom DFG-Forschungszentrum MATHEON, vom Zuse-Institut Berlin, vom Weierstraß-Institut für Angewandte Analysis und Stochastik sowie dem Felix-Klein-Zentrum für Mathematik der Universität Kaiserslautern. zbMATH knüpft an den Dienst Oberwolfach References on Mathematical Software (ORMS) (http://orms.mfo.de) an. ORMS bietet differenzierte, manuell erstellte Informationen für eine relativ kleine Anzahl handverlesener mathematischer Softwaresysteme. swMATH arbeitet hingegen weitgehend mit automatischen Methoden, um möglichst viele mathematische Softwarelösungen verfügbar zu machen.
    Field
    Mathematik
  4. Schöneberg, U.; Sperber, W.: ¬The DeLiVerMATH project : text analysis in mathematics (2013) 0.02
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    Field
    Mathematik
    Object
    Zentralblatt für Mathematik
  5. Schöneberg, U.; Sperber, W.: POS tagging and its applications for mathematics (2014) 0.02
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    Field
    Mathematik
    Object
    Zentralblatt für Mathematik
  6. Lange, 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 (2012) 0.01
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    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 in-the-field use cases and point out how e-science applications can take advantage of the MSC LOD set. We conclude with a roadmap for bootstrapping the presence of mathematical and mathematics-based 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.
    Object
    Zentralblatt für Mathematik
  7. Lange, 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 (2012) 0.01
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    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 in-the-field use cases and point out how e-science applications can take advantage of the MSC LOD set. We conclude with a roadmap for bootstrapping the presence of mathematical and mathematics-based 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.
    Object
    Zentralblatt für Mathematik
  8. Sperber, W.; Schöneberg, U.: Machine-learning methods for classification and content authority control in mathematics (2015) 0.01
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    Field
    Mathematik
    Object
    Zentralblatt für Mathematik
  9. Sperber, W.; Ion, P.D.F.: Content analysis and classification in mathematics (2011) 0.01
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