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AutoSPARQL

http://aksw.org/Projects/AutoSPARQL an entity of type: IncubatorProject

The underlying idea of the project is to convert a natural language expression to a SPARQL query, which can then retrieve the answer of a question from a given triple store.
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Our old website is currently off-line while we are trying recreate it with more modern tech.
DL-Learner

The aim of AutoSPARQL is to provide robust question answering over RDF data by combining methods from several research areas, such as:

  • natural language processing for creating sophisticated semantic representations of questions
  • inductive active learning for incorporating user feedback
  • results of the BOA project

The underlying idea is to convert a natural language expression to a SPARQL query, which can then retrieve the answer of a question from a given triple store.

Papers

Sourcecode

  • main (is not actively maintained anymore)
  • machine learning algorithms in DL-Learner
  • natural language patterns in BOA
sysont:Markdown
<https://github.com/AKSW/AutoSPARQL>
Prof. Dr. Jens Lehmann
<https://github.com/AKSW/AutoSPARQL>

inverse relations

1 resources DEQA
3 resources Prof. Dr. Axel-C. Ngonga Ngomo
Dr. Konrad Höffner
Lorenz Bühmann
1 resources Dr. Konrad Höffner
by (Editors: ) [Bibsonomy of ]
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