• DocumentCode
    1831156
  • Title

    Geographic clustering of research universities in specialized fields using Microsoft Academic Search

  • Author

    Kaczynski, David ; Gongzhu Hu

  • Author_Institution
    Dept. of Comput. Sci., Central Michigan Univ., Mount Pleasant, MI, USA
  • fYear
    2013
  • fDate
    14-16 Aug. 2013
  • Firstpage
    170
  • Lastpage
    174
  • Abstract
    Search is no doubt the most common activities on the Web. One of the most frequent search activities people in the educational and academic communities do is to search for research topics and papers and their author/affiliation information. For example, undergraduate students searching for graduate schools and master-level students searching for institutions for doctoral studies may go online to find universities that are conducting research in a highly specific field of their interest. A common way of doing this is to search journals and conferences for pertinent articles, and then accumulating the affiliations of the authors. In this paper, we present an interactive web-based academic search interface for discovering geographic clusters of academic institutions given a specific field by the user. The underlying system interacts with Microsoft Academic Search API and Google Places API, as well as Weka for clustering analysis. The system can be easily extended to accommodate other types of queries.
  • Keywords
    application program interfaces; educational institutions; electronic publishing; geographic information systems; information retrieval; pattern clustering; user interfaces; Google places API; Microsoft academic search API; Weka; academic communities; academic institutions; author-affiliation information; clustering analysis; doctoral studies; educational communities; geographic clustering; graduate schools; interactive Web-based academic search interface; master-level students; pertinent articles; research universities; search activities; specialized fields; undergraduate students; Data mining; Educational institutions; Encyclopedias; Google; Internet; Organizations; Search engines; Google Places; Microsoft Academic Search; Scala; Weka; clustering; system integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Reuse and Integration (IRI), 2013 IEEE 14th International Conference on
  • Conference_Location
    San Francisco, CA
  • Type

    conf

  • DOI
    10.1109/IRI.2013.6642469
  • Filename
    6642469