View maintenance issues for the chronicle data model (extended abstract)
PODS '95 Proceedings of the fourteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Lifestreams: a storage model for personal data
ACM SIGMOD Record
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Clustering Data Streams: Theory and Practice
IEEE Transactions on Knowledge and Data Engineering
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
Clustering binary data streams with K-means
DMKD '03 Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
A framework for clustering evolving data streams
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Using the Semantic Web for linking and reusing data across Web 2.0 communities
Web Semantics: Science, Services and Agents on the World Wide Web
Implementation of Ubiquitous Personal Study Using Web 2.0 Mash-up and OSS Technologies
AINAW '08 Proceedings of the 22nd International Conference on Advanced Information Networking and Applications - Workshops
A First Step Towards Stream Reasoning
Future Internet --- FIS 2008
Ubiquitous Personal Study: a framework for supporting information access and sharing
Personal and Ubiquitous Computing
It's a Streaming World! Reasoning upon Rapidly Changing Information
IEEE Intelligent Systems
Summarizing microblogs automatically
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
UIC-ATC '10 Proceedings of the 2010 Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing
Searching Social Media Streams on the Web
IEEE Intelligent Systems
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Foreword: Special Issue on Multidisciplinary Emerging Networks and Systems
Journal of Computer and System Sciences
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Recently, SNS (Social Network Service), blog and microblog have become very popular. Stream data, a large collection of diverse contents that are created dynamically in the form of streams, have become an important part of the Internet resources. At the same time, it has become easier to collect people@?s activities as their lifelogs, not only in the cyber space, but also in the physical world by means of ubiquitous and sensing technology. Either stream data or lifelogs represent different aspects of people@?s information behaviors and social activities, which we call Social Streams. In this study, we try to integrate and organize these social stream data, such as Twitter Tweets, into Ubiquitous Personal Study (UPS) proposed in our previous study. In this paper, we introduce and define a set of new metaphors: Drop, Stream, River and Ocean, to represent a variety of social stream data in different stages, in order to enable UPS socialized toward an individualized information portal. We further propose a Framework of Organic Streams to meaningfully organize these stream data. We discuss the design and implementation issues of a prototype system, and describe the algorithms to realize our proposed metaphors. Moreover, we show a scenario of using the socialized UPS to support learning activities, with experimental data and analysis results.