Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
454261 | Computer Standards & Interfaces | 2009 | 10 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
I-Ching Hsu, Yuan Kwei Tzeng, Der-Cheng Huang,