Automated Ontology Structure In Folksonomy
My master thesis is finished! I’ve made it available for download for everyone interested in hybrid folksonomy/ontology Web organization.
Automated Ontology Structure in Folksonomy (.pdf, 3100 kb)
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.
Folksonomy, Tagging, Taxonomy, Ontology, Hybrid, Semantic Web