/// <summary> /// Processes an Ask /// </summary> /// <param name="ask">Ask</param> /// <param name="context">SPARQL Evaluation Context</param> public virtual BaseMultiset ProcessAsk(Ask ask, SparqlEvaluationContext context) { if (context == null) { context = this.GetContext(); } return(ask.Evaluate(context)); }
public void SparqlStreamingBgpAskEvaluation() { //Get the Data we want to query TripleStore store = new TripleStore(); Graph g = new Graph(); FileLoader.Load(g, "resources\\InferenceTest.ttl"); store.Add(g); //g = new Graph(); //g.LoadFromFile("noise.ttl"); //store.Add(g); Console.WriteLine(store.Triples.Count() + " Triples in Store"); //Create the Triple Pattern we want to query with IUriNode fordFiesta = g.CreateUriNode(new Uri("http://example.org/vehicles/FordFiesta")); IUriNode rdfType = g.CreateUriNode(new Uri(RdfSpecsHelper.RdfType)); IUriNode rdfsLabel = g.CreateUriNode(new Uri(NamespaceMapper.RDFS + "label")); IUriNode speed = g.CreateUriNode(new Uri("http://example.org/vehicles/Speed")); IUriNode carClass = g.CreateUriNode(new Uri("http://example.org/vehicles/Car")); TriplePattern allTriples = new TriplePattern(new VariablePattern("?s"), new VariablePattern("?p"), new VariablePattern("?o")); TriplePattern allTriples2 = new TriplePattern(new VariablePattern("?x"), new VariablePattern("?y"), new VariablePattern("?z")); TriplePattern tp1 = new TriplePattern(new VariablePattern("?s"), new NodeMatchPattern(rdfType), new NodeMatchPattern(carClass)); TriplePattern tp2 = new TriplePattern(new VariablePattern("?s"), new NodeMatchPattern(speed), new VariablePattern("?speed")); TriplePattern tp3 = new TriplePattern(new VariablePattern("?s"), new NodeMatchPattern(rdfsLabel), new VariablePattern("?label")); TriplePattern novars = new TriplePattern(new NodeMatchPattern(fordFiesta), new NodeMatchPattern(rdfType), new NodeMatchPattern(carClass)); TriplePattern novars2 = new TriplePattern(new NodeMatchPattern(fordFiesta), new NodeMatchPattern(rdfsLabel), new NodeMatchPattern(carClass)); FilterPattern blankSubject = new FilterPattern(new UnaryExpressionFilter(new IsBlankFunction(new VariableTerm("?s")))); List <List <ITriplePattern> > tests = new List <List <ITriplePattern> >() { new List <ITriplePattern>() { }, new List <ITriplePattern>() { allTriples }, new List <ITriplePattern>() { allTriples, allTriples2 }, new List <ITriplePattern>() { tp1 }, new List <ITriplePattern>() { tp1, tp2 }, new List <ITriplePattern>() { tp1, tp3 }, new List <ITriplePattern>() { novars }, new List <ITriplePattern>() { novars, tp1 }, new List <ITriplePattern>() { novars, tp1, tp2 }, new List <ITriplePattern>() { novars2 }, new List <ITriplePattern>() { tp1, blankSubject } }; foreach (List <ITriplePattern> tps in tests) { Console.WriteLine(tps.Count + " Triple Patterns in the Query"); foreach (ITriplePattern tp in tps) { Console.WriteLine(tp.ToString()); } Console.WriteLine(); ISparqlAlgebra ask = new Ask(new Bgp(tps)); ISparqlAlgebra askOptimised = new Ask(new AskBgp(tps)); //Evaluate with timings Stopwatch timer = new Stopwatch(); TimeSpan unopt, opt; timer.Start(); BaseMultiset results1 = ask.Evaluate(new SparqlEvaluationContext(null, new InMemoryDataset(store))); timer.Stop(); unopt = timer.Elapsed; timer.Reset(); timer.Start(); BaseMultiset results2 = askOptimised.Evaluate(new SparqlEvaluationContext(null, new InMemoryDataset(store))); timer.Stop(); opt = timer.Elapsed; Console.WriteLine("ASK = " + results1.GetType().ToString() + " in " + unopt.ToString()); Console.WriteLine("ASK Optimised = " + results2.GetType().ToString() + " in " + opt.ToString()); Assert.AreEqual(results1.GetType(), results2.GetType(), "Both ASK queries should have produced the same result"); Console.WriteLine(); } }