Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recent and intensive research in the biomedical area enabled to accumulate and disseminate biomedical knowledge through various knowledge bases increasingly available on the b. The exploitation of this knowledge requires to create links beten these bases and to use them jointly. Linked Data, the SPARQL language and interfaces in natural language question ansring provide interesting solutions for querying such knowledge bases. Hover, while using biomedical Linked Data is crucial, life-science researchers may have difficulties using the SPARQL language. Interfaces based on natural language question ansring are recognized to be suitable for querying knowledge bases. ,  propose a method for translating natural language questions into SPARQL queries.  use Natural Language Processing tools, semantic resources and RDF triple descriptions.  designed a four-step method which allows to linguistically and semantically annotate questions, to perform an abstraction of these questions, then to build a representation of the SPARQL queries, and finally to generate the queries. The method is designed on 50 questions over three biomedical knowledge bases used in the task 2 of the QALD-4 challenge framework and evaluated on 27 new questions. It achieves good performance with 0.78 F-measure on the test set. The method for translating questions into SPARQL queries is implemented as a Perl module and is available at http://search.cpan.org/~thhamon/ RDF-NLP-SPARQLQuery/.
['Thierry Hamon', 'Natalia Grabar', 'Fleur Mougin']
I am writing a research paper on a idea Querying biomedical Linked Data with natural language questions
[{"from": "human", "value": "I am writing a research paper on a idea Querying biomedical Linked Data with natural language questions"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recent and intensive research in the biomedical area enabled to accumulate and disseminate biomedical knowledge through various knowledge bases increasingly available on the b. The exploitation of this knowledge requires to create links beten these bases and to use them jointly. Linked Data, the SPARQL language and interfaces in natural language question ansring provide interesting solutions for querying such knowledge bases. Hover, while using biomedical Linked Data is crucial, life-science researchers may have difficulties using the SPARQL language. Interfaces based on natural language question ansring are recognized to be suitable for querying knowledge bases. ,  propose a method for translating natural language questions into SPARQL queries.  use Natural Language Processing tools, semantic resources and RDF triple descriptions.  designed a four-step method which allows to linguistically and semantically annotate questions, to perform an abstraction of these questions, then to build a representation of the SPARQL queries, and finally to generate the queries. The method is designed on 50 questions over three biomedical knowledge bases used in the task 2 of the QALD-4 challenge framework and evaluated on 27 new questions. It achieves good performance with 0.78 F-measure on the test set. The method for translating questions into SPARQL queries is implemented as a Perl module and is available at http://search.cpan.org/~thhamon/ RDF-NLP-SPARQLQuery/."}]