TY - GEN
T1 - Generating associative ripples of relevant information from a variety of data streams by throwing a heuristic stone
AU - Zhou, Xiaokang
AU - Chen, Hong
AU - Jin, Qun
AU - Yong, Jianming
PY - 2011
Y1 - 2011
N2 - Recently, the vast dialog in the microblog, such as twitter, Facebook has become increasingly popular. As we post more messages in microblogs, information is spreading more quickly and widely. These widely spread and diversified contents could be viewed as data streams, which have become an important part of the Internet resources. However, these separated data streams are littery and meaningless, so we need to collect and organize them together to provide us with meaningful information. It is hard to imagine that we could find useful information by simply inputting a few keywords into a search engine in such a stream environment. In this study, we try to find a way to seek the information related to users' personal and current interests and needs among these data streams and provide users with other more relevant information. We introduce a set of metaphors to represent a variety of data streams in different levels, and define two new metaphors: heuristic stone and associative ripple to assist the seeking process and describe the results. Based on these, we further propose two algorithms for the information seeking and processing, and discuss a scenario of the information seeking process that utilizes the proposed metaphors and algorithms.
AB - Recently, the vast dialog in the microblog, such as twitter, Facebook has become increasingly popular. As we post more messages in microblogs, information is spreading more quickly and widely. These widely spread and diversified contents could be viewed as data streams, which have become an important part of the Internet resources. However, these separated data streams are littery and meaningless, so we need to collect and organize them together to provide us with meaningful information. It is hard to imagine that we could find useful information by simply inputting a few keywords into a search engine in such a stream environment. In this study, we try to find a way to seek the information related to users' personal and current interests and needs among these data streams and provide users with other more relevant information. We introduce a set of metaphors to represent a variety of data streams in different levels, and define two new metaphors: heuristic stone and associative ripple to assist the seeking process and describe the results. Based on these, we further propose two algorithms for the information seeking and processing, and discuss a scenario of the information seeking process that utilizes the proposed metaphors and algorithms.
KW - Data clustering
KW - Data stream
KW - Information seeking
KW - Microblog
KW - Stream metaphor
UR - http://www.scopus.com/inward/record.url?scp=79956010256&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79956010256&partnerID=8YFLogxK
U2 - 10.1145/1968613.1968685
DO - 10.1145/1968613.1968685
M3 - Conference contribution
AN - SCOPUS:79956010256
SN - 9781450305716
T3 - Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2011
BT - Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2011
T2 - 5th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2011
Y2 - 21 February 2011 through 23 February 2011
ER -