rdf

问题 I'm trying to understand how best to handle literals in Marklogic SPARQL data which may be in any case. I'd like to be able to do a case insensitive search but I believe that isn't possible with semantic queries. For a simplistic example I want: SELECT * WHERE { ?s ?p "Red"} and SELECT * WHERE { ?s ?p "red"} to return all values whether the object is "Red", "RED", "red" or "rED". My data is from another source which has variable capitalisation rules. At the moment the only thing I can think

问题 I'm trying to understand how best to handle literals in Marklogic SPARQL data which may be in any case. I'd like to be able to do a case insensitive search but I believe that isn't possible with semantic queries. For a simplistic example I want: SELECT * WHERE { ?s ?p "Red"} and SELECT * WHERE { ?s ?p "red"} to return all values whether the object is "Red", "RED", "red" or "rED". My data is from another source which has variable capitalisation rules. At the moment the only thing I can think

问题 I have two separate Jena models, one containing an RDFS ontology and the other containing the statements. Right now I cannot, for example, write a query which returns all results for a particular class, since the class is not described in the RDF statements. What I want is to query the statements model by taking into account the ontology as well. How can I do this? 回答1: You can query the ontology using SPARQL language and store the result and you can query other statements using any normal

问题 I have two separate Jena models, one containing an RDFS ontology and the other containing the statements. Right now I cannot, for example, write a query which returns all results for a particular class, since the class is not described in the RDF statements. What I want is to query the statements model by taking into account the ontology as well. How can I do this? 回答1: You can query the ontology using SPARQL language and store the result and you can query other statements using any normal

问题 I have two separate Jena models, one containing an RDFS ontology and the other containing the statements. Right now I cannot, for example, write a query which returns all results for a particular class, since the class is not described in the RDF statements. What I want is to query the statements model by taking into account the ontology as well. How can I do this? 回答1: You can query the ontology using SPARQL language and store the result and you can query other statements using any normal

问题 I have two separate Jena models, one containing an RDFS ontology and the other containing the statements. Right now I cannot, for example, write a query which returns all results for a particular class, since the class is not described in the RDF statements. What I want is to query the statements model by taking into account the ontology as well. How can I do this? 回答1: You can query the ontology using SPARQL language and store the result and you can query other statements using any normal

问题 I have two separate Jena models, one containing an RDFS ontology and the other containing the statements. Right now I cannot, for example, write a query which returns all results for a particular class, since the class is not described in the RDF statements. What I want is to query the statements model by taking into account the ontology as well. How can I do this? 回答1: You can query the ontology using SPARQL language and store the result and you can query other statements using any normal

问题 I have two separate Jena models, one containing an RDFS ontology and the other containing the statements. Right now I cannot, for example, write a query which returns all results for a particular class, since the class is not described in the RDF statements. What I want is to query the statements model by taking into account the ontology as well. How can I do this? 回答1: You can query the ontology using SPARQL language and store the result and you can query other statements using any normal

问题 This question is about finding matching candidate and path using a triple store with SPARQL endpoint (Fuseki 3.8.0). The matching criteria is that the attribute 's of a candidate must contain all of the requires of a path . In the minimal example data below, the matches should be candi_1 with path_1 and candi_2 with path_2 . @prefix : <http://example.com/app#> . :candi_1 a :candidate ; :attribute "A", "B", "C" . :candi_2 a :candidate ; :attribute "C", "D" . :candi_3 a :candidate ; :attribute

问题 So, i've done build an ontology using protégé and generate owl file, as far as i know owl is the rdf xml-based with more expressivity, and there are couples of paper that tells RDF can be integrated with AIML to build pattern matching chatbot with some kind of extensible knowledge such as https://www.researchgate.net/publication/228877414_Extending_knowledge_of_AIML_by_using_RDF http://conferences.idealliance.org/extreme/html/2007/Freese01/EML2007Freese01.html But i can't get any clear