This paper explores a range of issues yet to be addressed in the large-scale use of application profiles. While considerable attention has been paid to human-readable application profiles, there is a growing need for machine-readable application profiles that can support quality control mechanisms including, but not limited to, data validation. These issues are examined in the context of the evolving Semantic Web and the DCMI commitment to RDF and the challenges presented.
URL: https://ecommons.cornell.edu/bitstream/handle/1813/9371/AP_paper_final.pdf?sequence=1&isAllowed=y
Keywords: Data validation, Dublin Core, RDF, Application profile, Metadata
Author: Hillmann, Diane
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M
Educational use: professionalDevelopment
Educational audience: professional
Interactivity type: expositive
- Grasps essential differences between schemas for syntactic validation (e.g., XML) and for inferencing (RDF Schema).
- Fundamentals of Resource Description Framework
- Related data models
- Grasps essential differences between schemas for syntactic validation (e.g., XML) and for inferencing (RDF Schema).
- Grasps essential differences between schemas for syntactic validation (e.g., XML) and for inferencing (RDF Schema).
- Related data models
- Fundamentals of Resource Description Framework
- Participates in the social process of developing application profiles.
- RDF vocabularies and application profiles
- RDF application profiles
- Investigates how others have modeled the same or similar application domains.
- Participates in the social process of developing application profiles.
- Participates in the social process of developing application profiles.
- Investigates how others have modeled the same or similar application domains.
- RDF application profiles
- RDF vocabularies and application profiles