Paper Info
Title
Extracting the gist of social network services using Wikipedia
Abstract
Social Network Services(SNSs), which are maintained by a community of people, are among the popular Web 2.0 tools. Multiple users freely post their comments to an SNS thread. It is difficult to understand the gist of the comments because the dialog in an SNS thread is complicated. In this paper, we propose a system that presents the gist of information at a glance and basic information about an SNS thread by using Wikipedia. We focus on the table of contents (TOC) of the relevant articles on Wikipedia. Our system compares the comments in a thread with the information in the TOC and identifies contents that are similar. We consider the similar contents in the TOC as the gist of the thread and paragraphs in Wikipedia similar to the comments in the thread as comprising basic information about the thread. Thus, a user can obtain the gist of an SNS thread by viewing a table with similar contents.
Year
DOI
Venue
2010
10.1145/1967486.1967525
iiWAS
Keywords
Field
DocType
sns thread,basic information,popular web,multiple user,social network services,similar content,social network service,relevant article,wikipedia,table of contents
Dialog box,Data mining,World Wide Web,Social network,Computer science,Table of contents,Thread (computing),GiST,Database
Conference
Citations 
PageRank 
References 
0
0.34
11
Authors
4
Name
Order
Citations
PageRank
Akiyo Nadamoto118934.24
Eiji Aramaki237145.89
Takeshi Abekawa34810.35
Yohei Murakami428442.25