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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings of SIGMOD 2011 and PODS 2011
Pages1255-1257
Number of pages3
DOIs
StatePublished - Jul 11 2011
Event2011 ACM SIGMOD and 30th PODS 2011 Conference - Athens, Greece
Duration: Jun 12 2011Jun 16 2011

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)0730-8078

Other

Other2011 ACM SIGMOD and 30th PODS 2011 Conference
CountryGreece
CityAthens
Period6/12/116/16/11

Keywords

  • WINACS
  • information networks
  • web mining

ASJC Scopus subject areas

  • Software
  • Information Systems

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