AutoSPARQL

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

dct:abstract

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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Note:

Our old website is currently off-line while we are trying recreate it with more modern tech.

related project	DL-Learner
site:content	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 ESWC 2011 AutoSPARQL Paper WWW 2012 TBSL Paper KESW 2013 AutoSPARQL TBSL Demo Paper Sourcecode main (is not actively maintained anymore) machine learning algorithms in DL-Learner natural language patterns in BOA sysont:Markdown
browse	<https://github.com/AKSW/AutoSPARQL>
doap:maintainer	Prof. Dr. Jens Lehmann
homepage	<https://github.com/AKSW/AutoSPARQL>

inverse relations

is related project of	1 resources DEQA
is current project of	3 resources Prof. Dr. Axel-C. Ngonga Ngomo Dr. Konrad Höffner Lorenz Bühmann
is past project of	1 resources Dr. Konrad Höffner

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Maintenance

Papers

Sourcecode

inverse relations