A Fuzzy Grassroots Ontology for improving Weblog Extraction

Portmann, Edy; Meier, Andreas (2010). A Fuzzy Grassroots Ontology for improving Weblog Extraction. Journal of Digital Information Management, 8, pp. 276-284. Digital Information Research Foundation

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This paper presents fuzzy clustering algorithms to establish a grassroots ontology – a machine-generated weak ontology – based on folksonomies. Furthermore, it describes a search engine for vaguely associated terms and aggregates them into several meaningful cluster categories, based on the introduced weak grassroots ontology. A potential application of this ontology, weblog extraction, is illustrated using a simple example. Added value and possible future studies are discussed in the conclusion.

Item Type:

Journal Article (Original Article)

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

ISSN:

0972-7272

Publisher:

Digital Information Research Foundation

Projects:

[388] Knowledge Aggregation, Representation and Reasoning

Language:

English

Submitter:

Sara D'Onofrio

Date Deposited:

10 Apr 2014 11:26

Last Modified:

02 Nov 2015 10:08

BORIS DOI:

10.7892/boris.45584

URI:

https://boris.unibe.ch/id/eprint/45584

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