• DocumentCode
    2250930
  • Title

    Towards automatically categorizing mathematical knowledge

  • Author

    Grabowski, Adam ; Schwarzweller, Christoph

  • Author_Institution
    Inst. of Inf., Univ. of Bialystok, Białystok, Poland
  • fYear
    2012
  • fDate
    9-12 Sept. 2012
  • Firstpage
    63
  • Lastpage
    68
  • Abstract
    Clearly, there is no definitive standard for categorizing information contained in mathematical papers. Even if AMS Mathematics Subject Classification was important for mathematicians for years, nowadays we can observe growing popularity of other schemes, e.g. arXiv categories. On the other hand, in the era of digital information storing one can expect from the process of classification to be more or less automatic. Furthermore, generic categorization can be done inside the search engine. At different level, the distinction between such classical tagging items as lemma, proposition, theorem etc. had the aim of showing importance of proven facts. Here the automatization is much harder, or, to be more precise, the results obtained can be far from the original tagging given by the author. In the paper we point out some problems and thoughts concerned with the categorization of mathematical knowledge, illustrating some of them by examples taken from the Mizar Mathematical Library, large machine-checked repository of mathematical facts.
  • Keywords
    classification; information storage; knowledge management; mathematics computing; search engines; AMS mathematics subject classification; Mizar Mathematical Library; automatic mathematical knowledge categorization; automatization; classical tagging items; digital information storage; information categorization; large machine-checked repository; mathematical facts; mathematical papers; mathematicians; search engine; Algebra; Complexity theory; Dictionaries; Encyclopedias; Lattices; Libraries;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Systems (FedCSIS), 2012 Federated Conference on
  • Conference_Location
    Wroclaw
  • Print_ISBN
    978-1-4673-0708-6
  • Electronic_ISBN
    978-83-60810-51-4
  • Type

    conf

  • Filename
    6354423