TW-2009-09 + redirect page
MultiRank: Reputation Ranking for Generic Semantic Social Networks + Has identifier
| MultiRank: Reputation Ranking for Generic Semantic Social Networks |
Bibtype
inproceedings
Has publishing details
April,2009
Has title
MultiRank: Reputation Ranking for Generic Semantic Social Networks
Has tr id
TW-2009-09
Has url
http://tw.rpi.edu/portal/Image:MultiRank.pdf
Has where published
1st International Workshop on Motivation and Incentives on the Web
Has year
2009
Pdf url
http://tw.rpi.edu/portal/Image:MultiRank.pdf
Title
MultiRank: Reputation Ranking for Generic Semantic Social Networks
Year
2009
Abstract
This paper presents a technique for calcul … This paper presents a technique for calculating “reputation” or influence of users and artifacts in semantic social networks: in particular, as an incentive mechanism to encourage reuse of complex resources such as ontologies. Adapting the PageRank algorithm to the relational schemas of typical social network applications, this technique allows the programmer first to define via minimal rules the ways in which reputations of users and artifacts are likely to influence one another, then to obtain a mechanical, global ranking which reflects those rules in combination with the graph structure of the network. The mapping of multi-way relations such as usage and annotation to the binary-relational domain of PageRank is illustrated using the Actor-Concept-Instance model of ontologies. A lightweight software implementation, currently under development, will provide a convenient way to add reputation-based functionality to Java-based community applications. lity to Java-based community applications.
Address
Madrid, Spain +
Author
Xixi Luo +, Joshua Shinavier +
Booktitle
1st International Workshop on Motivation and Incentives on the Web +
Has author
Xixi Luo +, Joshua Shinavier +
Has identifier
MultiRank: Reputation Ranking for Generic Semantic Social Networks +
Month
April +
Categories Publication +, TW Technical Report +, Workshop Paper +
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