Authors:
Agnes Devina Haryuni
;
Yong Zhang
and
Chunxiao Xing
Affiliation:
Tsinghua University, China
Keyword(s):
SNS, Social Network, Digital Library, Collective Intelligence, Collaborative System, Social Networking System, Social Media, Recommender System.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Communities of Interest
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Personalized Web Sites and Services
;
Social Networks and Organizational Culture
;
Society, e-Business and e-Government
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
Abstract:
The growth of digital libraries has provided useful resources for users. However most digital libraries are not effectively to promote themself and engage audience. Limited resources also postponed the growth of the materials collection and expansion of related research and discussion. Our study shows how digital library can use social networking system to promote new material and engage user, allow user to share information and thoughts. It facilitates a collective intelligence system where user can interact and contribute in a knowledge sharing environment. In a platform for user-generated content, user can submit material and join discussion, and admin will learn the inputs and filter the content. This paper proposes the use of social networking system in digital library, delivers some case studies and explains how we can use social media to expand user base with recommender method. In this paper we also provide recommendations for further development.