Automated Ontology Structure In Folksonomy

On: September 5, 2010
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About Maarten Hoogvliet
I am a MA student of the Media and Culture master New Media at the University of Amsterdam and I have a BA degree in Communication and Multimedia Design at the HRO in Rotterdam, formerly a part of the Willem de Kooning Academy of Art. Next to doing my masters I am a graphic designer/illustrator.

Website
http://www.one3rd.nl/blog    

My master thesis is finished! I’ve made it available for download for everyone interested in hybrid folksonomy/ontology Web organization.

Download

Automated Ontology Structure in Folksonomy (.pdf,  3100 kb)

Abstract
The purpose of this research is to evaluate automated folksonomy refinement through algorithms, which constitutes a hybrid folksonomy/ontology Web organization. While in most contemporary literature folksonomy and classic taxonomic organization are opposed, this study attempts to combine these approaches to theorize a richer Web organization than either of the two could realize alone. Hybrid functionality arises through intricate cooperation between humans and algorithm automation. A hybrid combines multiple previously unconnected systems to form an interoperating whole. These principles are also applied to reflect on the possibility of realizing the Semantic Web through user annotation. Results include hybrid functionality being advantageous for enriching single platforms (for instance, photography website Flickr). However, application of tag semantics across platforms to realize the Semantic Web is problematic due to possible incompatibility. Instead, this research reflects on a bottom-up approach for the Semantic Web, but dismisses this approach because of the enormous amounts of users necessary for meaningfully annotating every website.

Keywords
Folksonomy, Tagging, Taxonomy, Ontology, Hybrid, Semantic Web

One Response to “Automated Ontology Structure In Folksonomy”
  • September 5, 2010 at 2:08 pm

    interesting topic! i’ll download and check it out!

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