Portmann, Edy (2009). Weblog extraction with fuzzy classification methods. In: Proceedings of the Second International Conference on the Applications of Digital Information and Web Technologies (pp. 411-416). IEEE 10.1109/ICADIWT.2009.5273930
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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.
Item Type: |
Conference or Workshop Item (Paper) |
|---|---|
Division/Institute: |
03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems > Information Management 03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems |
UniBE Contributor: |
Portmann, Edy |
Subjects: |
600 Technology > 650 Management & public relations |
Publisher: |
IEEE |
Language: |
English |
Submitter: |
Sara D'Onofrio |
Date Deposited: |
10 Apr 2014 12:05 |
Last Modified: |
05 Dec 2022 14:30 |
Publisher DOI: |
10.1109/ICADIWT.2009.5273930 |
BORIS DOI: |
10.7892/boris.45587 |
URI: |
https://boris.unibe.ch/id/eprint/45587 |
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