A comparison study of Flickr´s folksonomies and ontologies

Author

Ungrangsi, Rachanee ; Anutariya, Chutiporn

Author_Institution

Sch. of Inf. Technol., Shinawatra Univ., Pathum Thani, Thailand

fYear

2011

fDate

11-13 May 2011

Firstpage

257

Lastpage

262

Abstract

Flickr is a widely-known Web 2.0 photo sharing system that allows users to describe their own photos with tags (aka. folksonomies) for indexing purposes. However, its tag-based photo retrieval function is severely hampered by the inherent nature of folksonomies. As the first step moving towards the alleviation of the problem, this paper, therefore, investigates characterizations of folksonomies on Flickr through its all-time most popular tags. In particular, the study focuses on tag clusters, related tags, and tag categorizations of the all-time most popular tags and compares them with concepts formally defined in ontologies from the Semantic Web. The experimental results imply the feasibilit of employing the Semantic Web technology in searching Flickr photos.

Keywords

classification; image retrieval; indexing; ontologies (artificial intelligence); semantic Web; social networking (online); Flickr; Web 2.0 photo sharing system; folksonomies; indexing; ontologies; semantic Web; tag categorizations; tag clusters; tag-based photo retrieval function; Semantic Web; Web2.0; folksonomy; ontology;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering (JCSSE), 2011 Eighth International Joint Conference on

Conference_Location

Nakhon Pathom

Print_ISBN

978-1-4577-0686-8

Type

conf

DOI

10.1109/JCSSE.2011.5930131

Filename

5930131