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Yael Amsterdamer, Anna Kukliansky, Tova Milo
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
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.  ...  the data patterns to be mined from the crowd.  ... 
doi:10.1145/2723372.2735370 dblp:conf/sigmod/AmsterdamerKM15 fatcat:4z3dllocirgavghccj5z2ovs6i

A natural language interface for querying general and individual knowledge

Yael Amsterdamer, Anna Kukliansky, Tova Milo
2015 Proceedings of the VLDB Endowment  
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

Natural language aggregate query over RDF data

Xin Hu, Depeng Dang, Yingting Yao, Luting Ye
2018 Information Sciences  
Therefore, we propose a framework called NLAQ (Natural Language Aggregate Query).  ...  Natural language question-answering over RDF data has received widespread attention.  ...  [59] 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