Il 07/05/2010 15:51, Kingsley Idehen ha scritto: >> 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/ >> > > > How do you pull in the external data sources?
We ask search engines through their APIs, looking for some co-occurrence-like/google-similarity-distance-like measure between two DBpedia resources. -- Roberto Mirizzi ------------------------------------------------------------------------------ _______________________________________________ Dbpedia-discussion mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion
