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Sorry, I don’t speak SPARQL – Translating SPARQL Queries into Natural Language
"... Over the past years, Semantic Web and Linked Data technologies have reached the backend of a considerable number of applications. Consequently, large amounts of RDF data are constantly being made available across the planet. While experts can easily gather information from this wealth of data by usi ..."
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Over the past years, Semantic Web and Linked Data technologies have reached the backend of a considerable number of applications. Consequently, large amounts of RDF data are constantly being made available across the planet. While experts can easily gather information from this wealth of data by using the W3C standard query language SPARQL, most lay users lack the expertise necessary to proficiently interact with these applications. Consequently, non-expert users usually have to rely on forms, query builders, question answering or keyword search tools to access RDF data. However, these tools have so far been unable to explicate the queries they generate to lay users, making it difficult for these users to i) assess the correctness of the query generated out of their input, and ii) to adapt their queries or iii) to
leipzig.de
"... leipzig.de Linked Data technologies are now being employed by a large number of applications. While experts can query the backend of these applications using the standard query language SPARQL, most lay users lack the expertise necessary to proficiently interact with these applications. Consequently ..."
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leipzig.de Linked Data technologies are now being employed by a large number of applications. While experts can query the backend of these applications using the standard query language SPARQL, most lay users lack the expertise necessary to proficiently interact with these applications. Consequently, non-expert users usually have to rely on forms, query builders, question answering or keyword search tools to access RDF data. Yet, these tools are usually unable to make the meaning of the queries they generate plain to lay users, making it difficult for these users to i) assess the correctness of the query generated out of their input, and ii) to adapt their queries or iii) to choose in an informed manner between possible interpretations of their input.