A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
Lecture Notes in Computer Science
As more data (especially scientific data) is digitized and put on the Web, it is desirable to make provenance metadata easy to access, reuse, integrate and reason over. Ontologies can be used to encode expectations and agreements concerning provenance metadata representation and computation. This paper analyzes a selection of popular Semantic Web provenance ontologies such as the Open Provenance Model (OPM), Dublin Core (DC) and the Proof Markup Language (PML). Selected initial findings aredoi:10.1007/978-3-642-17819-1_22 fatcat:6larr7iaurffxn5h7b3urwxn5a