OWL Instance Data Evaluation
Authors
Ding, Li
Tao, Jiao
McGuinness, Deborah L.
ORCID
No Thumbnail Available
Other Contributors
Issue Date
2008-04-01
Keywords
Inference Web
Degree
Terms of Use
Full Citation
Abstract
As more applications are depending on semantic web data from diverse sources, semantic web data evaluation is becoming more critical. While language validators and general reasoners can help, these typically focus on syntax and logical consistency. Many applications need additional support for finding possible issues (as well as provable mistakes). We are investigating methods and environments that provide computational support for identifying possible problems with instance data. We report on a line of work focusing on evaluation of provable and possible problems with OWL instance data and provide some discussion motivated by our first application setting validating large amounts of diverse explanation data.
Description
Department
Publisher
Relationships
https://tw.rpi.edu/project/InferenceWeb