Construction and analysis of web-based computer science information networks

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

Abstract

With the rapid development of the Web, huge amounts of information are available on the Web in the form of Web documents, structures, and links. It has been a dream of the database and Web communities to harvest information exhibited on the Web and reconcile the unstructured nature of the Web with the semi-structured schemas of the database paradigm. This is a challenging task. Even though databases are currently used to generate Web content in some sites, the schemas of these databases are rarely consistent across a domain. However, with the recent research in Web structure mining and information network analysis, major progress has been made at discovering Web hidden structures, constructing heterogeneous information networks by integration of information from structured databases and Web contents, and performing in-depth analysis for systematic harvesting of such rich information on the Web.

Original languageEnglish (US)
Title of host publicationRough Sets, Fuzzy Sets, Data Mining and Granular Computing - 13th International Conference, RSFDGrC 2011, Proceedings
Pages1-2
Number of pages2
DOIs
StatePublished - Jul 19 2011
Event13th International Conference on Rough Sets, Fuzzy Sets and Granular Computing, RSFDGrC 2011 - Moscow, Russian Federation
Duration: Jun 25 2011Jun 27 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6743 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Conference on Rough Sets, Fuzzy Sets and Granular Computing, RSFDGrC 2011
CountryRussian Federation
CityMoscow
Period6/25/116/27/11

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Han, J. (2011). Construction and analysis of web-based computer science information networks. In Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 13th International Conference, RSFDGrC 2011, Proceedings (pp. 1-2). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6743 LNAI). https://doi.org/10.1007/978-3-642-21881-1_1