Aggregation in Natural Language Generation
EWNLG '93 Selected papers from the Fourth European Workshop on Trends in Natural Language Generation, An Artificial Intelligence Perspective
An open-source natural language generator for OWL ontologies and its use in Protégé and Second Life
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics: Demonstrations Session
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
Complexity assumptions in ontology verbalisation
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Levels of organisation in ontology verbalisation
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
"Hidden semantics": what can we learn from the names in an ontology?
INLG '12 Proceedings of the Seventh International Natural Language Generation Conference
Generating natural language descriptions from OWL ontologies: the natural OWL system
Journal of Artificial Intelligence Research
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Ontologies and datasets for the Semantic Web are encoded in OWL formalisms that are not easily comprehended by people. To make ontologies accessible to human domain experts, several research groups have developed ontology verbalisers using Natural Language Generation. In practice ontologies are usually composed of simple axioms, so that realising them separately is relatively easy; there remains however the problem of producing texts that are coherent and efficient. We describe in this paper some methods for producing sentences that aggregate over sets of axioms that share the same logical structure. Because these methods are based on logical structure rather than domain-specific concepts or language-specific syntax, they are generic both as regards domain and language.