@prefix foaf: . @prefix ns1: . @prefix ns2: . ns1:jens-lehmann foaf:made ns2:iswc-2017-iswc-2017-posters-and-demos-604 . ns1:mohnish-dubey foaf:made ns2:iswc-2017-iswc-2017-posters-and-demos-604 . @prefix ns3: . @prefix ns4: . ns4:proceedings ns3:hasPart ns2:iswc-2017-iswc-2017-posters-and-demos-604 . @prefix rdf: . @prefix ns6: . ns2:iswc-2017-iswc-2017-posters-and-demos-604 rdf:type ns6:InformationObject , ns6:Object . @prefix ns7: . ns2:iswc-2017-iswc-2017-posters-and-demos-604 rdf:type ns7:ProceedingsPaper . @prefix owl: . ns2:iswc-2017-iswc-2017-posters-and-demos-604 rdf:type owl:Thing , ns3:InProceedings . @prefix rdfs: . ns2:iswc-2017-iswc-2017-posters-and-demos-604 rdf:type rdfs:Resource , ns6:SocialObject ; rdfs:label "How to Revert Question Answering on Knowledge Graphs" . @prefix ns10: . ns2:iswc-2017-iswc-2017-posters-and-demos-604 owl:sameAs ns10:iswc-2017-iswc-2017-posters-and-demos-604 . @prefix ns11: . ns2:iswc-2017-iswc-2017-posters-and-demos-604 ns11:abstract "A large scale question answering dataset has a potential to enable development of robust and more accurate question answering systems. In this direction, we introduce a framework for creating such datasets which decreases the manual intervention and domain expertise traditionally needed. We describe in details the architecture and the design decision we took while creating the framework." . @prefix dc: . ns2:iswc-2017-iswc-2017-posters-and-demos-604 dc:creator ns1:priyansh-trivedi , ns1:jens-lehmann , ns1:gaurav-maheshwari , ns1:mohnish-dubey . @prefix xsd: . ns2:iswc-2017-iswc-2017-posters-and-demos-604 dc:subject "Reverse Engineering"^^xsd:string , "Question Answering"^^xsd:string , "Data Set"^^xsd:string , "Data Set Generation Framework"^^xsd:string ; dc:title "How to Revert Question Answering on Knowledge Graphs" . @prefix ns14: . @prefix ns15: . ns2:iswc-2017-iswc-2017-posters-and-demos-604 ns14:authorList ns15:iswc-2017-iswc-2017-posters-and-demos-604 ; foaf:maker ns1:gaurav-maheshwari , ns1:mohnish-dubey , ns1:jens-lehmann , ns1:priyansh-trivedi ; ns3:abstract "A large scale question answering dataset has a potential to enable development of robust and more accurate question answering systems. In this direction, we introduce a framework for creating such datasets which decreases the manual intervention and domain expertise traditionally needed. We describe in details the architecture and the design decision we took while creating the framework." ; ns3:hasAuthorList ns15:iswc-2017-iswc-2017-posters-and-demos-604 ; ns3:isPartOf ns4:proceedings ; ns3:keyword "Reverse Engineering"^^xsd:string , "Data Set"^^xsd:string , "Data Set Generation Framework"^^xsd:string , "Question Answering"^^xsd:string ; ns3:title "How to Revert Question Answering on Knowledge Graphs" . ns1:gaurav-maheshwari foaf:made ns2:iswc-2017-iswc-2017-posters-and-demos-604 . ns1:priyansh-trivedi foaf:made ns2:iswc-2017-iswc-2017-posters-and-demos-604 .