Hi Nitesh, Have a look at the following threads [1] for more details. Cheers!
[1] http://sourceforge.net/p/dbpedia/mailman/message/32095225/ On 3/18/14, 5:54 PM, Dimitris Kontokostas wrote: > Hi Nitesh & welcome to our community, > > We discussed this project with some students already. > You can look for related discussions and warm up tasks on our mailing > list archive [1]. > > What you should definately do is explore the dbpedia mappings wiki [2] > and how Wikidata properties are used. > A good overview of DBpedia can be found on our latest publication [3] > > Best, > Dimtiris > > [1] > http://sourceforge.net/p/dbpedia/mailman/search/?q=wikidata&mail_list=dbpedia-gsoc&limit=100 > [2] mappings.dbpedia.org <http://mappings.dbpedia.org> > [3] dbpedia.org/publications <http://dbpedia.org/publications> > > > On Tue, Mar 18, 2014 at 1:44 PM, Nitesh Garg <[email protected] > <mailto:[email protected]>> wrote: > > Hi, > > I am a pre-final year undergraduate student at The LNM Institute o > Information Technology, Jaipur where I have been pursuing my > B.Tech.(Hons.) in Computer Science. I am really interested in doing > the project titled as "Automated Wikidata mappings to DBpedia > ontology". I have been studying on this topic for few days. In one > of my project i have successfully implemented Content Based Mailing > Classifier i.e. with this design we can classify user’s Gmail inbox > in a better way and further it can be classified into more > categories like spam, non spam, private, public, professional etc. > For this purpose I used Naive Bayes Classifier algorithm. > > I am currently facing some problems writing the proposal for the > project so it will help me if you could give me some more references > or samples to read about the proceeding of project step by step. > Please also suggest me some warm up task so that i can get a feel to > code for this as soon as possible. > > Thanks > > Nitesh > > > > ------------------------------------------------------------------------------ > Learn Graph Databases - Download FREE O'Reilly Book > "Graph Databases" is the definitive new guide to graph databases and > their > applications. Written by three acclaimed leaders in the field, > this first edition is now available. Download your free book today! > http://p.sf.net/sfu/13534_NeoTech > _______________________________________________ > Dbpedia-gsoc mailing list > [email protected] > <mailto:[email protected]> > https://lists.sourceforge.net/lists/listinfo/dbpedia-gsoc > > > > > -- > Kontokostas Dimitris > > > ------------------------------------------------------------------------------ > Learn Graph Databases - Download FREE O'Reilly Book > "Graph Databases" is the definitive new guide to graph databases and their > applications. Written by three acclaimed leaders in the field, > this first edition is now available. Download your free book today! > http://p.sf.net/sfu/13534_NeoTech > > > > _______________________________________________ > Dbpedia-gsoc mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/dbpedia-gsoc > -- Marco Fossati http://about.me/marco.fossati Twitter: @hjfocs Skype: hell_j ------------------------------------------------------------------------------ Learn Graph Databases - Download FREE O'Reilly Book "Graph Databases" is the definitive new guide to graph databases and their applications. Written by three acclaimed leaders in the field, this first edition is now available. Download your free book today! http://p.sf.net/sfu/13534_NeoTech _______________________________________________ Dbpedia-gsoc mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/dbpedia-gsoc
