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arXiv 1012.1745cs.AI
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Populous: A tool for populating ontology templates

University of Manchester(曼彻斯特大学);Institut National de la Santé et de la Recherche Médicale(法国国家健康与医学研究院)

Simon Jupp, Matthew Horridge, Luigi Iannone, Julie Klein, Stuart Owen, Joost Schanstra, Robert Stevens, Katy Wolstencroft

英文摘要:

We present Populous, a tool for gathering content with which to populate an ontology. Domain experts need to add content, that is often repetitive in its form, but without having to tackle the underlying ontological representation. Populous presents users with a table based form in which columns are constrained to take values from particular ontologies; the user can select a concept from an ontology via its meaningful label to give a value for a given entity attribute. Populated tables are mapped to patterns that can then be used to automatically generate the ontology's content. Populous's contribution is in the knowledge gathering stage of ontology development. It separates knowledge gathering from the conceptualisation and also separates the user from the standard ontology authoring environments. As a result, Populous can allow knowledge to be gathered in a straight-forward manner that can then be used to do mass production of ontology content.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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