DocumentCode :
3192538
Title :
A Hybrid P2P Search Engine for Social Learning
Author :
Ahmed, Ashraf Uddin ; Shahid, Tanvir ; Chen, Hong ; Jin, Qun
Author_Institution :
Media Res. Inst., Waseda Univ., Tokyo, Japan
fYear :
2011
fDate :
19-22 Oct. 2011
Firstpage :
564
Lastpage :
569
Abstract :
Social learning is showing one of the immersive potentialities for human knowledge gathering on the Internet throughout the last decade. Due to rapid growth of Internet, people can communicate with each other using IM (Instant Messaging), WWW and P2P. IM Services, such as, Yahoo, Twitter, Google Talk, ICQ (I seek you), etc. which provides individual and group communications. Web search engines (Google, Yahoo, AOL etc.) collect versatile information by crawling web directories, and web public documents (html, PDF, text, etc.) throughout the world. P2P (Gnutella, Napster, Free net, etc.) serves file sharing between and/or among users. However, IM, WEB and P2P do not support WW, which indicates WHO the right person/user is and WHAT the right topic a user is looking for. To overcome the WW issues, this research presents a hybrid search engine called P2P_SSE (P2P Social Search Engine) which can find the WW and serves users queries for the support of social learning.
Keywords :
Internet; computer aided instruction; search engines; social networking (online); AOL; Free net; Gnutella; Google Talk; ICQ; Internet; Napster; P2P social search engine; PDF; Twitter; WWW; Web directories crawling; Web public documents crawling; Web search engines; Yahoo; file sharing; group communication; html; human knowledge gathering; hybrid P2P search engine; hybrid search engine; instant messaging; social learning; Crawlers; Engines; Indexes; Internet; Search engines; Servers; Social network services; P2P; Search engine; Social learning; information retrival; knowledge acquisition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet of Things (iThings/CPSCom), 2011 International Conference on and 4th International Conference on Cyber, Physical and Social Computing
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-1976-9
Type :
conf
DOI :
10.1109/iThings/CPSCom.2011.111
Filename :
6142199
Link To Document :
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