Bringing Math to LOD: A Semantic Publishing Platform Prototype for Scientific Collections in Mathematics

  • Olga Nevzorova
  • Nikita Zhiltsov
  • Danila Zaikin
  • Olga Zhibrik
  • Alexander Kirillovich
  • Vladimir Nevzorov
  • Evgeniy Birialtsev
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8218)

Abstract

We present our work on developing a software platform for mining mathematical scholarly papers to obtain a Linked Data representation. Currently, the Linking Open Data (LOD) cloud lacks up-to-date and detailed information on professional level mathematics. To our mind, the main reason for that is the absence of appropriate tools that could analyze the underlying semantics in mathematical papers and effectively build their consolidated representation. We have developed a holistic approach to analysis of mathematical documents, including ontology based extraction, conversion of the article body as well as its metadata into RDF, integration with some existing LOD data sets, and semantic search. We argue that the platform may be helpful for enriching user experience on modern online scientific collections.

Keywords

Linked Data Ontology Engineering Ontology Extraction 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Olga Nevzorova
    • 1
  • Nikita Zhiltsov
    • 1
  • Danila Zaikin
    • 1
  • Olga Zhibrik
    • 1
  • Alexander Kirillovich
    • 1
  • Vladimir Nevzorov
    • 1
  • Evgeniy Birialtsev
    • 1
  1. 1.Kazan Federal UniversityKazanRussia

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