文章基本信息

标题：OntoVerbal: a Generic Tool and Practical Application to SNOMED CT
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作者：Shao Fen Liang ; Donia Scott ; Robert Stevens 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2013
卷号：4
期号：6
DOI：10.14569/IJACSA.2013.040631
出版社：Science and Information Society (SAI)
摘要：Ontology development is a non-trivial task requiring expertise in the chosen ontological language. We propose a method for making the content of ontologies more transparent by presenting, through the use of natural language generation, naturalistic descriptions of ontology classes as textual paragraphs. The method has been implemented in a proof-of-concept system, OntoVerbal, that automatically generates paragraph-sized textual descriptions of ontological classes expressed in OWL. OntoVerbal has been applied to ontologies that can be loaded into Protégé and been evaluated with SNOMED CT, showing that it provides coherent, well-structured and accurate textual descriptions of ontology classes.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; ontology verbalisation; natural language generation; OWL; SNOMED CT