Discourse and Information Structure
Journal of Logic, Language and Information
A reference ontology for biomedical informatics: the foundational model of anatomy
Journal of Biomedical Informatics - Special issue: Unified medical language system
CLOnE: controlled language for ontology editing
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Rabbit: developing a control natural language for authoring ontologies
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Complexity assumptions in ontology verbalisation
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Expressing conditions in tailored brochures for public administration
Proceedings of the 11th ACM symposium on Document engineering
Content selection from an ontology-based knowledge base for the generation of football summaries
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
Deriving rhetorical relationships from semantic content
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
A policy-based approach to context dependent natural language generation
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
Levels of organisation in ontology verbalisation
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
Perspective-oriented generation of football match summaries: Old tasks, new challenges
ACM Transactions on Speech and Language Processing (TSLP)
"Hidden semantics": what can we learn from the names in an ontology?
INLG '12 Proceedings of the Seventh International Natural Language Generation Conference
Content selection from semantic web data
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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With OWL (Web Ontology Language) established as a standard for encoding ontologies on the Semantic Web, interest has begun to focus on the task of verbalising OWL code in controlled English (or other natural language). Current approaches to this task assume that axioms in OWL can be mapped to sentences in English. We examine three potential problems with this approach (concerning logical sophistication, information structure, and size), and show that although these could in theory lead to insuperable difficulties, in practice they seldom arise, because ontology developers use OWL in ways that favour a transparent mapping. This result is evidenced by an analysis of patterns from a corpus of over 600,000 axioms in about 200 ontologies.