PopulusLog: People information database

Ali Cakmak*, Mustafa Kirac, Gultekin Ozsoyoglu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Information about individuals on publicly available web sites stands as a valuable, yet unorganized, data source. Turning such an enormous data source into a "database" is highly desirable as it has the potential to lead to novel ways of using the available information to the largest extent. In this paper, we present PopulusLog, a novel web data mining system. PopulusLog is a pioneering example of next generation search engines which produces and provides access to non-intuitive knowledge on the web. It involves a framework for tools that collect, extract, mine, query, browse, and visualize information about anonymous people.

Original languageEnglish
Title of host publication2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009
Pages165-170
Number of pages6
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009 - Guzelyurt, Cyprus
Duration: 14 Sept 200916 Sept 2009

Publication series

Name2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009

Conference

Conference2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009
Country/TerritoryCyprus
CityGuzelyurt
Period14/09/0916/09/09

Keywords

  • Entity tagging
  • Information extraction
  • Machine learning
  • Search engines
  • Web databases

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