Detecting Some Collaborative Academic Indicators Based on Social Networks: A DBLP Case Study
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Fiaidhi, J. & Mohammed, S. (2008). Detecting Some Collaborative Academic Indicators Based on Social Networks: A DBLP Case Study. In J. Luca & E. Weippl (Eds.), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2008 (pp. 6150-6157). Chesapeake, VA: AACE.
Retrieved from http://www.editlib.org/p/29234.
World Conference on Educational Multimedia, Hypermedia and Telecommunications (EDMEDIA) 2008
June 30, 2008
Joseph Luca & Edgar R. Weippl
More Information on EDMEDIA
Table of Contents
Academia is focusing their attention on information retrieval over semantic metadata extracted from the Web, and it is increasingly possible to analyze such metadata to discover interesting relationships. However, just as document ranking is a critical component in today's traditional search engines, the ranking of complex relationships will be an important component in tomorrow's Semantic Web engines. This article presents a a ranking approach based on social networking to identify interesting and relevant relationships in a semantically represented XML open source data. This article presents an approach to analyze DBLP publications using Social Networking Reasoners.
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- Social Networking for Student and Staff learning
- Social Tagging in Knowledge Organisation –Online Survey on the Users’ Perspective
- A REVIEW OF WEB-BASED LEARNING SYSTEMS FOR PROGRAMMING
- Hybridisation of Social Networking and Learning Environments
- Using social bookmarking to enhance an undergraduate educational technology course
- Podcasting in the Learning Environment: From Podcasts for the Learning Community, Towards the Integration of Podcasts within the Elementary Learning Environment
- Opening Facebook: How to Use Facebook in the College Classroom
- Bookmarking/Tagging in the Web 2.0 Era: From an Individual Cognitive Tool to a Collaborative Knowledge Construction Tool for Educators
- Technological Pedagogical Content Knowledge (TPACK): A Content Analysis of 2006-2009 Print Journal Articles
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