PopulusLog: People information database

Author

Cakmak, Ali ; Kirac, Mustafa ; Ozsoyoglu, Gultekin

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Case Western Reserve Univ., Cleveland, OH, USA

fYear

2009

fDate

14-16 Sept. 2009

Firstpage

165

Lastpage

170

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 ldquodatabaserdquo 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.

Keywords

Internet; Web sites; data mining; data visualisation; database management systems; search engines; PopulusLog; Web data mining system; Web sites; information browsing; information collection; information extraction; information mining; information querying; information visualization; next generation search engines; people information database; Data mining; Data visualization; Machine learning; Scattering; Search engines; Social network services; Tagging; Turning; Visual databases; Web pages; entity tagging; information extraction; machine learning; search engines; web databases;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Guzelyurt

Print_ISBN

978-1-4244-5021-3

Electronic_ISBN

978-1-4244-5023-7

Type

conf

DOI

10.1109/ISCIS.2009.5291838

Filename

5291838