Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Dynamical user networking and profiling based on activity streams for enhanced social learning
ICWL'11 Proceedings of the 10th international conference on Advances in Web-Based Learning
Enabling open learning process with learning activity streams: model, metaphor and specification
ICWL'11 Proceedings of the 10th international conference on Advances in Web-Based Learning
Socialized ubiquitous personal study: Toward an individualized information portal
Journal of Computer and System Sciences
Learning activity sharing and individualized recommendation based on dynamical correlation discovery
ICWL'12 Proceedings of the 11th international conference on Advances in Web-Based Learning
User correlation discovery and dynamical profiling based on social streams
AMT'12 Proceedings of the 8th international conference on Active Media Technology
Multimedia Tools and Applications
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Recently, SNS, blog and microblog have become very popular. A different form of diversified contents, comparing to traditional static HTML web pages, are so easy to be generated dynamically, and can be provided to users by timeline. These contents are generally processed data streams, and have become an important part of the Internet resources. In this study, we try to integrate these dynamically diversified contents, such as twitter stream data, into Ubiquitous Personal Study (UPS), a personalized virtual study proposed in our previous study. In this paper, we introduce and define a set of new metaphors to represent a variety of data streams, such as Drop, Stream, River, and Ocean. We propose a Framework of Organic Streams to meaningfully organize these stream data. We describe the design and implementation issues of a prototype system, and discuss a scenario of using the enhanced UPS to support learning that utilizes twitter data streams.