Earticle

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

Abstract
 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

키워드

저자

• Neil Y. Yen [ School of Computer Science and Engineering, The University Fukuchima, Japan ]
• Stephen Y.F. Kuo [ Computer Science and Information Engineering China University of Science and Technology Taipei, Taiwan ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JoC [Journal of Convergence]

• 간기

  계간

• pISSN

  2093-7741

• eISSN

  2093-775X

• 수록기간

  2010~2015

• 십진분류

  KDC 004 DDC 004