Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Towards a theory of natural language interfaces to databases
Proceedings of the 8th international conference on Intelligent user interfaces
Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Proceedings of the 12th international conference on Intelligent user interfaces
AquaLog: An ontology-driven question answering system for organizational semantic intranets
Web Semantics: Science, Services and Agents on the World Wide Web
PANTO: A Portable Natural Language Interface to Ontologies
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Ranking Approximate Answers to Semantic Web Queries
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
How useful are natural language interfaces to the semantic web for casual end-users?
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
A natural language query interface to structured information
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Smeagol: a "specific-to-general" semantic web query interface paradigm for novices
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part I
Semantic Web search based on ontological conjunctive queries
Web Semantics: Science, Services and Agents on the World Wide Web
Representing and resolving ambiguities in ontology-based question answering
TIWTE '11 Proceedings of the TextInfer 2011 Workshop on Textual Entailment
FREyA: an interactive way of querying linked data using natural language
ESWC'11 Proceedings of the 8th international conference on The Semantic Web
The SemSets model for ad-hoc semantic list search
Proceedings of the 21st international conference on World Wide Web
Template-based question answering over RDF data
Proceedings of the 21st international conference on World Wide Web
Ontology-based semantic search on the Web and its combination with the power of inductive reasoning
Annals of Mathematics and Artificial Intelligence
Natural language interfaces to data services
Search Computing
SWSNL: Semantic Web Search Using Natural Language
Expert Systems with Applications: An International Journal
A bottom-up, knowledge-aware approach to integrating and querying web data services
ACM Transactions on the Web (TWEB)
An analysis framework for ontology querying tools
Proceedings of the 9th International Conference on Semantic Systems
An ontology-based architecture for natural language access to relational databases
UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: design methods, tools, and interaction techniques for eInclusion - Volume Part I
Evaluating question answering over linked data
Web Semantics: Science, Services and Agents on the World Wide Web
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With large datasets such as Linked Open Data available, there is a need for more user-friendly interfaces which will bring the advantages of these data closer to the casual users. Several recent studies have shown user preference to Natural Language Interfaces (NLIs) in comparison to others. Although many NLIs to ontologies have been developed, those that have reasonable performance are domain-specific and tend to require customisation for each new domain which, from a developer's perspective, makes them expensive to maintain. We present our system FREyA, which combines syntactic parsing with the knowledge encoded in ontologies in order to reduce the customisation effort. If the system fails to automatically derive an answer, it will generate clarification dialogs for the user. The user's selections are saved and used for training the system in order to improve its performance over time. FREyA is evaluated using Mooney Geoquery dataset with very high precision and recall.