IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Representing and Sharing Tagging Data Using the Social Semantic Cloud of Tags

Representing and Sharing Tagging Data Using the Social Semantic Cloud of Tags
View Sample PDF
Author(s): Hak-Lae Kim (National University of Ireland, Ireland), John G. Breslin (National University of Ireland, Ireland), Stefan Decker (National University of Ireland, Ireland)and Hong-Gee Kim (Seoul National University, South Korea)
Copyright: 2010
Pages: 9
Source title: Social Computing: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Subhasish Dasgupta (George Washington University, USA)
DOI: 10.4018/978-1-60566-984-7.ch117

Purchase

View Representing and Sharing Tagging Data Using the Social Semantic Cloud of Tags on the publisher's website for pricing and purchasing information.

Abstract

Social tagging has become an essential element for Web 2.0 and the emerging Semantic Web applications. With the rise of Web 2.0, websites that provide content creation and sharing features have become extremely popular. These sites allow users to categorize and browse content using tags (i.e., free-text keyword topics). However, the tagging structures or folksonomies created by users and communities are often interlocked with a particular site and cannot be reused in a different system or by a different client. This chapter presents a model for expressing the structure, features, and relations among tags in different Web 2.0 sites. The model, termed the social semantic cloud of tags (SCOT), allows for the exchange of semantic tag metadata and reuse of tags in various social software applications.

Related Content

Nitesh Behare, Rashmi D. Mahajan, Meenakshi Singh, Vishwanathan Iyer, Ushmita Gupta, Pritesh P. Somani. © 2024. 36 pages.
Shikha Mittal. © 2024. 21 pages.
Albérico Travassos Rosário. © 2024. 31 pages.
Carla Sofia Ribeiro Murteira, Ana Cristina Antunes. © 2024. 23 pages.
Mario Sierra Martin, Alvaro Díaz Casquero, Marina Sánchez Pérez, Bárbara Rando Rodríguez. © 2024. 17 pages.
Poornima Nair, Sunita Kumar. © 2024. 18 pages.
Neli Maria Mengalli, Antonio Aparecido Carvalho. © 2024. 16 pages.
Body Bottom