Title :
Weblog extraction with fuzzy classification methods
Author_Institution :
Dept. of Inf., Inf. Syst. Res. Group, Univ. of Fribourg, Fribourg, Switzerland
Abstract :
This paper uses folksonomies and fuzzy clustering algorithms to establish term-relevant related results. This paper will propose a meta search engine with the ability to search for vaguely associated terms and aggregate them into several meaningful cluster categories. The potential of the fuzzy Weblog extraction is illustrated using a simple example and added value and possible future studies are discussed in the conclusion.
Keywords :
Web sites; fuzzy set theory; information retrieval; pattern classification; pattern clustering; search engines; Weblog extraction; folksonomy; fuzzy classification method; fuzzy clustering algorithm; fuzzy set theory; information retrieval; meta search engine; vaguely associated term search; Clustering algorithms; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Graphical user interfaces; Metasearch; Ontologies; Search engines; Set theory; Tag clouds;
Conference_Titel :
Applications of Digital Information and Web Technologies, 2009. ICADIWT '09. Second International Conference on the
Conference_Location :
London
Print_ISBN :
978-1-4244-4456-4
Electronic_ISBN :
978-1-4244-4457-1
DOI :
10.1109/ICADIWT.2009.5273930
