Danny Ayers wrote: > Kingsley, how do I find out when to plant tomatos here? > And you find the answer to that in Wikipedia via <http://en.wikipedia.org/wiki/Tomato>? Of course not.
Re. DBpedia, if you have a Agriculture oriented data spaces (ontology and instance data) that references DBpedia (via linkbase) then you will have a better chance of an answer since we would have temporal properties and associated values in the Linked Data Space (one that we can mesh with DBpedia even via SPARQL). Kingsley > On 17 April 2010 19:36, Kingsley Idehen <[email protected]> wrote: > >> Danny Ayers wrote: >> >>> On 16 April 2010 19:29, greg masley <[email protected]> wrote: >>> >>> >>>> What I want to know is does anybody have a method yet to successfully >>>> extract data from Wikipedia using dbpedia? If so please email the procedure >>>> to [email protected] >>>> >>>> >>> That is an easy one, the URIs are similar - you can get the pointer >>> from db and get into wikipedia. Then you do your stuff. >>> >>> I'll let Kingsley explain. >>> >>> >>> >> Greg, >> >> Please add some clarity to your quest. >> >> DBpedia the project is comprised of: >> >> 1. Extractors for converting Wikipedia content into Structured Data >> represented in a variety of RDF based data representation formats >> 2. Live instance with the extracts from #1 loaded into a DBMS that exposes a >> SPARQL endpoint (which lets you query over the wire using SPARQL query >> language). >> >> There is a little more, but I need additional clarification from you. >> >> >> -- >> >> Regards, >> >> Kingsley Idehen President & CEO OpenLink Software Web: >> http://www.openlinksw.com >> Weblog: http://www.openlinksw.com/blog/~kidehen >> Twitter/Identi.ca: kidehen >> >> >> >> >> >> > > > > -- Regards, Kingsley Idehen President & CEO OpenLink Software Web: http://www.openlinksw.com Weblog: http://www.openlinksw.com/blog/~kidehen Twitter/Identi.ca: kidehen ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Dbpedia-discussion mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion
