Williams, Sandra and Power, Richard
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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.
|Item Type:||Conference Item|
|Copyright Holders:||2010 The Authors|
|Academic Unit/School:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Sandra Williams|
|Date Deposited:||14 Jun 2011 08:14|
|Last Modified:||27 Apr 2017 12:06|
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Grouping axioms for more coherent ontology descriptions. (deposited 12 Jul 2010 15:33)
- Grouping axioms for more coherent ontology descriptions. (deposited 14 Jun 2011 08:14) [Currently Displayed]
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