원문정보
초록
영어
Sharing resources and information on the Internet is becoming a popular and essential activity, requiring the development of methods to achieve collective intelligence. Our repository has been developed for managing and sharing resources that are collected from the Internet and number approximately 300,000 items. The resources are created and reused by users for specific purposes. In this research, the inner attributes of Internet resources and their correlations with others are investigated in a federated repository. An approach integrating the concept of graph model and social network analysis is proposed, in order to achieve efficient representation of resources over the Internet. In addition, two automated mechanisms concerning the resources discovery and reuse are implemented, to facilitate the usage scenario. Experiment results, including several self-evaluations and an empirical study with 40 users, demonstrate the performance and feasibility of this research.
목차
I. INTRODUCTION
II. RELATED WORKS
A. Approaches for Social Network Analysis
B. Information Discovery in Social Network
C. Mining Time-series Data
III. MODELING INTERNET RESOURCES
A. The Definition of IRNET
B. Quantifying the Correlations
C. Adding Temporal Information for Quantification
D. The Usage Frequency of Correlation
IV. APPLIED SEARCH MECHANISMS IN IRNET
A. Ranking of Resources
B. Search Guidance Mechanism
V. EVALUATION AND EXPERIMENTS
VI. CONCLUSION AND FUTURE WORK
ACKNOWLEDGEMENTS
REFERENCES
BIOGRAPHIES