Il 06/05/2010 13.11, Kingsley Idehen ha scritto:
>> BTW, that would be great if the DBpedia project could compute and
>> distribute the PageRank or the TunkRank [1] values for the DBpedia
>> resources based on the data of the page links graph. This is a really
>> good scoring heuristic when performing fuzzy text named queries with
>> several homonymic matches.
>>
>> [1] http://thenoisychannel.com/2009/01/13/a-twitter-analog-to-pagerank/
>>
>>      
> Olivier,
>
> Have you looked at this interface to DBpedia: http://dbpedia.org/fct ?
> Also look at the Entity Rank details in the "About" section.
>
> Basically, you have two ranking schemes in place:
>
> 1. Entity Rank -- based on Link Coefficients
> 2. Text Scores
>    

In [1] we compute the similarity value among pairs of resources by 
applying an hybrid approach to rank node exploiting both the graph 
structure of the underlying RDF DBpedia graph and querying several 
external information sources (search engines and social tagging system). 
I think it can be useful when you need to know resources that are more 
relevant than other w.r.t. a given "query".

[1] R. Mirizzi, A. Ragone, T. Di Noia, E. Di Sciascio. Ranking the 
Linked Data: the case of DBpedia. 10th International Conference on Web 
Engineering (ICWE). 2010. 
http://sisinflab.poliba.it/publications/2010/MRDD10b/

-- 
Roberto Mirizzi
PhD student at Politecnico di Bari
http://sisinflab.poliba.it/mirizzi/

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