WINACS: construction and analysis of web-based computer science information networks

  • Authors:
  • Tim Weninger;Marina Danilevsky;Fabio Fumarola;Joshua Hailpern;Jiawei Han;Thomas J. Johnston;Surya Kallumadi;Hyungsul Kim;Zhijin Li;David McCloskey;Yizhou Sun;Nathan E. TeGrotenhuis;Chi Wang;Xiao Yu

  • Affiliations:
  • University of Illinois Urbana-Champaign, Urbana, IL, USA;University of Illinois Urbana-Champaign, Urbana, IL, USA;Universita, Bari, Italy;University of Illinois Urbana-Champaign, Urbana, IL, USA;University of Illinois Urbana-Champaign, Urbana, IL, USA;University of Illinois Urbana-Champaign, Urbana, IL, USA;Kansas State University, Manhattan, KS, USA;University of Illinois Urbana-Champaign, Urbana, IL, USA;University of Illinois Urbana-Champaign, Urbana, IL, USA;University of Illinois Urbana-Champaign, Urbana, IL, USA;University of Illinois Urbana-Champaign, Urbana, IL, USA;Whitworth University, Spokane, WA, USA;University of Illinois Urbana-Champaign, Urbana, IL, USA;University of Illinois Urbana-Champaign, Urbana, IL, USA

  • Venue:
  • Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
  • Year:
  • 2011

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Abstract

WINACS (Web-based Information Network Analysis for Computer Science) is a project that incorporates many recent, exciting developments in data sciences to construct a Web-based computer science information network and to discover, retrieve, rank, cluster, and analyze such an information network. With the rapid development of the Web, huge amounts of information are available in the form of Web documents, structures, and links. It has been a dream of the database and Web communities to harvest such information and reconcile the unstructured nature of the Web with the neat, semi-structured schemas of the database paradigm. Taking computer science as a dedicated domain, WINACS first discovers related Web entity structures, and then constructs a heterogeneous computer science information network in order to rank, cluster and analyze this network and support intelligent and analytical queries.