DocumentCode
1912749
Title
Towards a Social Memory: Human Experience Mining and Semantic Social Networks
Author
Sung-Hyon Myaeng
Author_Institution
Dept. of Comput. Sci., KAIST, Daejeon, South Korea
fYear
2012
fDate
20-22 Sept. 2012
Firstpage
1
Lastpage
1
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.
Keywords
Internet; data mining; natural language processing; semantic networks; social networking (online); World Wide Web; activity-based human experiences; blog posts; human activity; human experience mining; massive memory; natural language processing techniques; online news papers; personal media; social media; social memory; topic-based semantic social networks; twits; Awards activities; Computer science; Humans; Media; Natural language processing; Semantics; Social network services;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Applied Informatics (IIAIAAI), 2012 IIAI International Conference on
Conference_Location
Fukuoka
Print_ISBN
978-1-4673-2719-0
Type
conf
DOI
10.1109/IIAI-AAI.2012.8
Filename
6337233
Link To Document