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- 199 creator danica-damljanovic.
- 199 creator kalina-bontcheva.
- 199 creator valentin-tablan.
- 199 type InProceedings.
- 199 label "A Natural Language Query Interface to Structured Information".
- 199 sameAs 199.
- 199 abstract "Accessing structured data such as that encoded in ontologies and knowledge bases can be done using either syntactically complex formal query languages like SPARQL or complicated form interfaces that require expensive customisation to each particular application domain. This paper presents the QuestIO system { a natural language interface for accessing structured information, that is domain independent and easy to use without training. It aims to bring the simplicity of Google's search interface to conceptual retrieval by automatically converting short conceptual queries into formal ones, which can then be executed against any semantic repository. QuestIO was developed specifically to be robust with regard to language ambiguities, incomplete or syntactically ill-formed queries, by harnessing the structure of ontologies, fuzzy string matching, and ontology-motivated similarity metrics.".
- 199 hasAuthorList authorList.
- 199 hasTopic Natural_language_processing.
- 199 hasTopic Ontology_%28computer_science%29.
- 199 hasTopic SPARQL.
- 199 hasTopic Search_engine.
- 199 hasTopic Semantic_Web.
- 199 hasTopic User_interface.
- 199 hasTopic Web_Ontology_Language.
- 199 isPartOf proceedings.
- 199 keyword "conceptual search".
- 199 keyword "human language technologies".
- 199 keyword "querying".
- 199 keyword "searching".
- 199 keyword "user interfaces".
- 199 title "A Natural Language Query Interface to Structured Information".