Organizing Linked Data Quality Related Methods

In this paper, the author presents the top-level of an ontology categorizing and generalizing best practices and quality criteria or measures for Linked Data. It permits to compare these techniques and have a synthetic organized view of what can or should be done for knowledge sharing purposes. This ontology is part of a general knowledge base that can be accessed and complemented by any Web user. Thus, it can be seen as a cooperatively built library for the above cited elements. Since they permit to evaluate information objects and create better ones, these elements also permit knowledge based tools and techniques - as well as knowledge providers - to be evaluated and categorized based on their input/output information objects.

Provided by: Cornell University Topic: Data Management Date Added: Jun 2012 Format: PDF

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