A Polynomial Approach to the Constructive Induction of Structural Knowledge
Machine Learning - Special issue on evaluating and changing representation
Foundations of Inductive Logic Programming
Foundations of Inductive Logic Programming
An algorithm based on counterfactuals for concept learning in the Semantic Web
Applied Intelligence
DL-FOIL Concept Learning in Description Logics
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
The Expressive Power of SPARQL
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Concept learning in description logics using refinement operators
Machine Learning
Computing intensional answers to questions - An inductive logic programming approach
Data & Knowledge Engineering
DL-Learner: Learning Concepts in Description Logics
The Journal of Machine Learning Research
Learning with feature description logics
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Ideal downward refinement in the EL description logic
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
ProGolem: a system based on relative minimal generalisation
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
Semantics and complexity of SPARQL
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
DC proposal: ontology learning from noisy linked data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
Template-based question answering over RDF data
Proceedings of the 21st international conference on World Wide Web
Allowing end users to query graph-based knowledge bases
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
SPARQL2NL: verbalizing sparql queries
Proceedings of the 22nd international conference on World Wide Web companion
Sorry, i don't speak SPARQL: translating SPARQL queries into natural language
Proceedings of the 22nd international conference on World Wide Web
An analysis framework for ontology querying tools
Proceedings of the 9th International Conference on Semantic Systems
Introduction to linked data and its lifecycle on the web
RW'13 Proceedings of the 9th international conference on Reasoning Web: semantic technologies for intelligent data access
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An advantage of Semantic Web standards like RDF and OWL is their flexibility in modifying the structure of a knowledge base. To turn this flexibility into a practical advantage, it is of high importance to have tools and methods, which offer similar flexibility in exploring information in a knowledge base. This is closely related to the ability to easily formulate queries over those knowledge bases. We explain benefits and drawbacks of existing techniques in achieving this goal and then present the QTL algorithm, which fills a gap in research and practice. It uses supervised machine learning and allows users to ask queries without knowing the schema of the underlying knowledge base beforehand and without expertise in the SPARQL query language. We then present the AutoSPARQL user interface, which implements an active learning approach on top of QTL. Finally, we evaluate the approach based on a benchmark data set for question answering over Linked Data.