Paper Info
Title
Towards a Social Memory: Human Experience Mining and Semantic Social Networks
Abstract
Summary form only given. World Wide Web can be seen as a massive memory for human activities and experiences, which are stored in the form of huge networks of various sorts. Not only do online news papers report on various events the public would be interested in but also personal and social media such as blog posts and twits reflect various personal activities experiences that may be related to other events or other activities implicitly or explicitly. In this talk, I will introduce our ongoing efforts to capture activity-based human experiences from personal and social media by means of natural language processing techniques. Also discussed will be an attempt to automatically build topic-based semantic social networks.
Year
DOI
Venue
2012
10.1109/IIAI-AAI.2012.8
IIAI-AAI
Keywords
Field
DocType
social memory,huge network,topic-based semantic social networks,world wide web,semantic networks,semantic social networks,activity-based human experiences,blog posts,natural language processing techniques,blog post,various personal activities experience,human experience mining,social media,internet,various sort,twits,personal media,human experience,human activity,data mining,semantic social network,natural language processing,various event,social networking (online),online news papers,massive memory,semantics,computer science,media
World Wide Web,Social media,Social network,Sentiment analysis,Computer science,Semantic network,Social Semantic Web,Social computing,Semantics,The Internet
Conference
ISBN
Citations 
PageRank 
978-1-4673-2719-0
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Sung-hyon Myaeng180289.18