About https://w3id.org/scholarlydata/inproceedings/iswc2016/paper/research/research-10

Subject: https://w3id.org/scholarlydata/inproceedings/iswc2016/paper/research/research-10Property: http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://www.w3.org/2002/07/owl#Thinghttps://w3id.org/scholarlydata/ontology/conference-ontology.owl#InProceedingshttp://www.w3.org/2000/01/rdf-schema#ResourceProperty: http://www.w3.org/2000/01/rdf-schema#labelCubeQA—Question Answering on RDF Data CubesProperty: http://www.w3.org/2002/07/owl#sameAshttp://data.semanticweb.org/conference/iswc/2016/paper/research/research-10Property: http://purl.org/dc/elements/1.1/creatorhttps://w3id.org/scholarlydata/person/jens-lehmannhttps://w3id.org/scholarlydata/person/konrad-hoffnerhttps://w3id.org/scholarlydata/person/ricardo-usbeckProperty: http://xmlns.com/foaf/0.1/makerhttps://w3id.org/scholarlydata/person/ricardo-usbeckhttps://w3id.org/scholarlydata/person/jens-lehmannhttps://w3id.org/scholarlydata/person/konrad-hoffnerProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#abstractStatistical data in the form of RDF Data Cubes is becoming increasingly valuable as it influences decisions in areas such as health care, policy and finance. While a growing amount is becoming freely available through the open data movement, this data is opaque to laypersons. Semantic Question Answering (SQA) technologies provide access via free-form natural language queries but general SQA systems cannot process RDF Data Cubes. On the intersection between RDF Data Cubes and SQA, we create a new subfield of SQA, called RDCQA. We create an RDQCA benchmark as task 3 of the QALD-6 evaluation challenge, to stimulate further research and enable quantitative comparison between RDCQA systems. We design and evaluate the CubeQA algorithm, which is the first RDCQA system and achieves a global F 1 score of 0.43 on the QALD6T3-test dataset, showing that RDCQA is feasible.Property: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#hasAuthorListhttps://w3id.org/scholarlydata/inproceedings/iswc2016/paper/research/research-10/authorListProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#isPartOfhttps://w3id.org/scholarlydata/conference/iswc/2016/proceedingsProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#keywordData CubeSemantic WebQuestion AnsweringProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#titleCubeQA—Question Answering on RDF Data Cubes
Subject: https://w3id.org/scholarlydata/person/jens-lehmannProperty: http://xmlns.com/foaf/0.1/madehttps://w3id.org/scholarlydata/inproceedings/iswc2016/paper/research/research-10
Subject: https://w3id.org/scholarlydata/person/ricardo-usbeckProperty: http://xmlns.com/foaf/0.1/madehttps://w3id.org/scholarlydata/inproceedings/iswc2016/paper/research/research-10
Subject: https://w3id.org/scholarlydata/person/konrad-hoffnerProperty: http://xmlns.com/foaf/0.1/madehttps://w3id.org/scholarlydata/inproceedings/iswc2016/paper/research/research-10
Subject: https://w3id.org/scholarlydata/conference/iswc/2016/proceedingsProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#hasParthttps://w3id.org/scholarlydata/inproceedings/iswc2016/paper/research/research-10