Featuring web communities based on word co-occurrence structure of communications: 736
Proceedings of the 11th international conference on World Wide Web
Chance discoveries for making decisions in complex real world
New Generation Computing
KeyGraph: Automatic Indexing by Co-occurrence Graph based on Building Construction Metaphor
ADL '98 Proceedings of the Advances in Digital Libraries Conference
Chance Discovery
Teaching Machines about Everyday Life
BT Technology Journal
ContextPhone: A Prototyping Platform for Context-Aware Mobile Applications
IEEE Pervasive Computing
MyLifeBits: a personal database for everything
Communications of the ACM - Personal information management
Communications of the ACM - Personal information management
Searching to eliminate personal information management
Communications of the ACM - Personal information management
Bayesphone: precomputation of context-sensitive policies for inquiry and action in mobile devices
UM'05 Proceedings of the 10th international conference on User Modeling
Extracting meaningful contexts from mobile life log
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Processing Combinatorial Thinking: Innovators Marketplace as Role-Based Game Plus Action Planning
International Journal of Knowledge and Systems Science
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Chance discovery provides a way to find rare but very important events for future decision making. It can be applied to stock market prediction, earthquake alarm, intrusion detection and social community evolution modeling. Similarly, contents management procedure can be regarded as a new application of chance discovery. By combining context information with contents, user's trivial behavior at a specific area can result in sudden photo creation, long-time mp3 listening, and going to specific area for content creation. Using chance discovery, such novel situation can be modeled and predictable. Recently mobile devices are regarded as a content storage with their functions such as camera, camcorder, and music player. It creates massive new data and downloads contents from desktop or wireless internet. Because of the massive size of digital contents in the mobile devices, user feels difficulty to recall or find information from the personal storage. We propose a KeyGraph-based reorganization method of mobile device storage for better accessibility to the data based on chance discovery. It can help user not only find useful information from the storage but also refresh his/her memory by using the summary of novel events. User can recall his/her memory from the contents and contexts. Using artificially generated logs from a pre-defined scenario, the proposed method is tested and analyzed to check the possibility.