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 :
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