Paper Info
Title
SITIO: A Social Semantic Recommendation Platform.
Abstract
The exchange of information on the Web has recently gained momentum with the raise of some socially-oriented collaborative trends. Current phenomena such as blogging, wikis or social software sites such as Digg or Slashdot have emerged as a paradigm shift in which the consumer-producer equation on the Web has reverted. The increasing success of these initiatives in pointing at and recommending resources on the Web is fuelling a new type of social recommendation for the discovery and location of Web resources. Together with current Semantic Web technologies and vocabularies that have gained momentum and proved useful, they can help to overcome the significant shortcomings of information overload and foster sharing and collaboration through semantics. In this paper we present the SITIO approach, discuss its forthcomings and introduce BLISS, its proof-of-concept implementation, a biological literature social ranking system used in the bioinformatics field.
Year
DOI
Venue
2007
10.1109/CONIELECOMP.2007.35
CONIELECOMP
Keywords
Field
DocType
web resource,social recommendation,social ranking system,current semantic web technology,sitio approach,bioinformatics field,social semantic recommendation platform,information overload,biological literature,current phenomenon,social software site,paradigm shift,search engines,proof of concept,semantic web,information retrieval,bioinformatics,groupware
Web resource,Information overload,World Wide Web,Semantic Web Stack,Collaborative software,Computer science,Social software,Semantic Web,Web modeling,Social Semantic Web
Conference
ISBN
Citations 
PageRank 
0-7695-2799-X
4
0.46
References 
Authors
9
5
Name
Order
Citations
PageRank
Juan Miguel Gomez1609.66
Giner Alor-Hernandez2549.40
Ruben Posada-Gomez3449.21
Ma. Antonieta Abud-Figueroa450.82
Angel Garcia-Crespo5576.83