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To bridge the gap between naïve users, who are not familiar with formal query languages, and crowd mining platforms, we develop NL2CM, a prototype system which translates natural language (NL) questions ... We demonstrate NL2CM by translating questions of the audience, in different domains, into OASSIS-QL, a crowd mining query language which is based on SPARQL. 1 LinkedGeoData. http://linkedgeodata.org/ ... the data patterns to be mined from the crowd. ...doi:10.1145/2723372.2735370 dblp:conf/sigmod/AmsterdamerKM15 fatcat:4z3dllocirgavghccj5z2ovs6i
the formal query languages that crowd mining platforms support. ... To make the joint analysis of general and individual knowledge accessible to the public, it is desirable to provide an interface that translates the user questions, posed in natural language (NL), into ... We are grateful to the anonymous reviewers, for their insightful comments. This work has been partially funded by the European Research Council under the FP7, ERC grant MoDaS, agreement 291071. ...doi:10.14778/2824032.2824042 fatcat:wflyw335ivcz7kwddbcxrfil6u
Therefore, we propose a framework called NLAQ (Natural Language Aggregate Query). ... Natural language question-answering over RDF data has received widespread attention. ...  developed NL2CM, a prototype system that translates natural language (NL) questions into well-formed crowd-mining queries. Dubey et al. ...doi:10.1016/j.ins.2018.04.042 fatcat:rz2ir2ter5cuvjmzocwzoovw4a