Article ID Journal Published Year Pages File Type
454261 Computer Standards & Interfaces 2009 10 Pages PDF
Abstract
Although providing metadata association, XLink lacks computer-interpretability to support knowledge representation for intelligent applications. This study proposes an OWL-based language, called OWL-L, to make Web resources links computer-interpretable. Two aspects of OWL-L, link profile and link model are described. The link profile provides the information required for an agent to discover a link, while the link model provides information that enables an agent to exploit a link. Finally, this study describes the feasibility of using role/arcRole properties of links to represent OWL-based ontologies, which can thus seamlessly interoperate and integrate with OWL-L to enhance knowledge representation.
Related Topics
Physical Sciences and Engineering Computer Science Computer Networks and Communications
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