RuleML Annotation for Automatic Collection Levels on METS Metadata

In this paper, we propose a rule annotation method using RuleML in the Metadata Encoding and Transmission Standard, called METS. By putting rules into METS, the collection levels of digital contents can be set automatically, and their re-organization can be performed easily. Applying RuleML to the rule description is one of the promising methods for reorganizing digital contents dynamically without human effort. RuleML descriptions are implemented by inserting them into the behavior section of METS, which is prepared for defining behaviors of digital contents. A set of rules embedded into the behavior section may designate how collection levels for target digital contents are set.