Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
Self-Organizing Maps
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Tagging: people-powered metadata for the social web
Tagging: people-powered metadata for the social web
Extended gloss overlaps as a measure of semantic relatedness
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Conversational tagging in twitter
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Context oriented analysis of web 2.0 social network contents-MindMeister use-case
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part I
Hi-index | 0.00 |
Web 2.0 has changed the technological landscape of the internet computing world today. The shift from traditional web which is also known as Web 1.0 is forced by the growing need for more efficient information sharing, collaboration, and business processes. The disclosure of personal/organisational information in Web 2.0 via social networks, digital contributions and data feeds has created new security and privacy challenges. Designing transparent, usable systems in support of personal privacy, security, and trust, requires advanced knowledge retrieval techniques that can support information sharing processes by applying appropriate policies. This paper proposes a Web 2.0 analysis methodology that provides reusable foundation components for information extraction, analysis and visualisation. These components can be used by the same method can be also used by individuals to make a self-test of their Web 2.0 contributions and find out what inferences will be derived from their web presence.