Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
379311 | Data & Knowledge Engineering | 2008 | 16 Pages |
Abstract
A methodology for in situ migration of a handcrafted Directed Acyclic Graph (DAG), to a formal and expressive OWL version is presented. Well-known untangling methodologies recommend wholesale re-coding. Unable to do this, we have tackled portions of the DAG, lexically dissecting term names to property-based descriptions in OWL. The different levels of expressivity are presented in a model called the “feature escalator”, where the user can choose the level needed for the application and the expressivity that delivers requirement. The results of applying the methodology to some areas of the gene ontology (GO) demonstrate the validity of the methodology.
Keywords
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Physical Sciences and Engineering
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Artificial Intelligence
Authors
Mikel Egaña Aranguren, Chris Wroe, Carole Goble, Robert Stevens,