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005 20260218151430.0
035   $a(CKB)4920000000100771
035   $a(oapen)doab61787
035   $a(EXLCZ)994920000000100771
100   $a20202102d2017      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aUser interfaces to the web of data based on natural language generation/$fBasil Ell
210  1$aKarlsruhe :$cKIT Scientific Publishing,$d2017.
215   $a1 online resource (VIII, 178 p. p.)
311 08$a3-7315-0462-6 
311 08$a9783731504627 
330   $aWe explore how Virtual Research Environments based on Semantic Web technologies support research interactions with RDF data in various stages of corpus-based analysis, analyze the Web of Data in terms of human readability, derive labels from variables in SPARQL queries, apply Natural Language Generation to improve user interfaces to the Web of Data by verbalizing SPARQL queries and RDF graphs, and present a method to automatically induce RDF graph verbalization templates via distant supervision.
606   $aSemantic Web
606   $aRDF (Document markup language)
606   $aUser interfaces (Computer systems)
615 00$aSemantic Web.
615 00$aRDF (Document markup language)
615 00$aUser interfaces (Computer systems)
700   $aEll$b Basil$01296613
906   $aBOOK
912   $a9910346775203321
996   $aUser Interfaces to the Web of Data based on Natural Language Generation$93024132
997   $aUNINA