DocumentCode
2451631
Title
Tagging with DHARMA, a DHT-based approach for resource mapping through approximation
Author
Aiello, Luca Maria ; Milanesio, Marco ; Ruffo, Giancarlo ; Schifanella, Rossano
Author_Institution
Comput. Sci. Dept., Univ. degli Studi di Torino, Torino, Italy
fYear
2010
fDate
19-23 April 2010
Firstpage
1
Lastpage
8
Abstract
We introduce collaborative tagging and faceted search on structured P2P systems. Since a trivial and brute force mapping of an entire folksonomy over a DHT-based system may reduce scalability, we propose an approximated graph maintenance approach. Evaluations on real data coming from Last.fm prove that such strategies reduce vocabulary noise (i.e., representation´s overfitting phenomena) and hotspots issues.
Keywords
approximation theory; graph theory; groupware; peer-to-peer computing; DHARMA approach; DHT-based approach; approximated graph maintenance approach; collaborative tagging; distributed hash table; faceted search; peer-to-peer systems; structured P2P systems; Collaborative work; Computer science; Indexing; Navigation; Peer to peer computing; Proposals; Scalability; Search engines; Tagging; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on
Conference_Location
Atlanta, GA
Print_ISBN
978-1-4244-6533-0
Type
conf
DOI
10.1109/IPDPSW.2010.5470931
Filename
5470931
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