I have a nice case of RDF manipulation :) Let's say I have the following RDF triples (Tuple3) in two files or tables:
TABLE A: http://test/John, type, Person http://test/John, name, John http://test/John, knows, http://test/Mary http://test/John, knows, http://test/Jerry http://test/Jerry, type, Person http://test/Jerry, name, Jerry http://test/Jerry, knows, http://test/Frank http://test/Mary, type, Person http://test/Mary, name, Mary TABLE B: http://test/Frank, type, Person http://test/Frank, name, Frank http://test/Frank, marriedWith, http://test/Mary What is the best way to build up Person-rooted trees with all node's data properties and some expanded path like 'Person.knows.marriedWith' ? Is it better to use Graph/Gelly APIs, Flink Joins, multiple punctuals get from a Key/value store or what? The expected 4 trees should be: tree 1 (root is John) ------------------ http://test/John, type, Person http://test/John, name, John http://test/John, knows, http://test/Mary http://test/John, knows, http://test/Jerry http://test/Jerry, type, Person http://test/Jerry, name, Jerry http://test/Jerry, knows, http://test/Frank http://test/Mary, type, Person http://test/Mary, name, Mary http://test/Frank, type, Person http://test/Frank, name, Frank http://test/Frank, marriedWith, http://test/Mary tree 2 (root is Jerry) ------------------ http://test/Jerry, type, Person http://test/Jerry, name, Jerry http://test/Jerry, knows, http://test/Frank http://test/Frank, type, Person http://test/Frank, name, Frank http://test/Frank, marriedWith, http://test/Mary http://test/Mary, type, Person http://test/Mary, name, Mary tree 3 (root is Mary) ------------------ http://test/Mary, type, Person http://test/Mary, name, Mary tree 4 (root is Frank) ------------------ http://test/Frank, type, Person http://test/Frank, name, Frank http://test/Frank, marriedWith, http://test/Mary http://test/Mary, type, Person http://test/Mary, name, Mary Thanks in advance, Flavio On Mon, Mar 2, 2015 at 5:04 PM, Stephan Ewen <se...@apache.org> wrote: > Hey Santosh! > > RDF processing often involves either joins, or graph-query like operations > (transitive). Flink is fairly good at both types of operations. > > I would look into the graph examples and the graph API for a start: > > - Graph examples: > > https://github.com/apache/flink/tree/master/flink-examples/flink-java-examples/src/main/java/org/apache/flink/examples/java/graph > - Graph API: > > https://github.com/apache/flink/tree/master/flink-staging/flink-gelly/src/main/java/org/apache/flink/graph > > If you have a more specific question, I can give you better pointers ;-) > > Stephan > > > On Fri, Feb 27, 2015 at 4:48 PM, santosh_rajaguru <sani...@gmail.com> > wrote: > > > Hello, > > > > how can flink be useful for processing the data to RDFs and build the > > ontology? > > > > Regards, > > Santosh > > > > > > > > > > > > > > > > -- > > View this message in context: > > > http://apache-flink-incubator-mailing-list-archive.1008284.n3.nabble.com/Queries-regarding-RDFs-with-Flink-tp4130.html > > Sent from the Apache Flink (Incubator) Mailing List archive. mailing list > > archive at Nabble.com. > > >
