Description of structural and semantic relationships and properties of, within, and between resources is seen as a key issue in digital preservation. But the markup languages used to encode descriptions for migration between and storage within digital repositories are subject to the same interpretive problems that complicate other uses of markup. This paper reports on a project that aims to address these problems by explicating facts that otherwise would not support automated inferencing. These facts are expressed as RDF [Resource Description Framework] triples, stored in and retrieved from a scalable RDF-based repository.
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