Title :
Semantic Relatedness in Folksonomy
Author :
Wu, Chao ; Zhou, Bo
Author_Institution :
Zhejiang Univ., Hangzhou, China
fDate :
June 30 2009-July 2 2009
Abstract :
Social networking sites like Flickr , Youtube and Del.icio.us have been rapidly gaining popularity on the Internet, underscoring a transformation of the Web to a participatory medium in which users are actively creating, evaluating and distributing information. With this process, social tagging systems, which allow users to interactively annotate a pool of shared resources using descriptive tags, have enjoyed phenomenal success in recent years. Folksonomy are data created in social tagging. Tags in folksonomy reflect userspsila collaborative cognition on information. They can reveal both the userspsila behavior and resourcespsila properties. In this paper, we will study the vocabulary of userspsila tagging and the relationship between words. We connect tags by users collaborative tagging to form a network of folksonomy, and investigate the semantic relatedness between tags within it. The result shows that the links within this network have relatively strong semantic relatedness, which is useful for designing future folksonomy-based systems.
Keywords :
Internet; data mining; groupware; social networking (online); Internet; association rule; descriptive tag; folksonomy semantic relatedness; online social network; social networking site; social tagging system; user behavior; user collaborative cognition; Chaos; Cognition; Collaboration; History; IP networks; Social network services; Tagging; Videos; Web and internet services; YouTube; folksonomy; semantic similarity; tags;
Conference_Titel :
New Trends in Information and Service Science, 2009. NISS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3687-3
DOI :
10.1109/NISS.2009.150