Picking up this thread on a visit to USA, I also want to echo the possibilities of using linked data patterns, guidelines and examples to hide the complexity of elaborate semantic models and also avoid alternative mappings (ways of saying the same thing) that hinder semantic interoperability.
This is the approach we followed in STELLAR to express archaeological datasets as CRM based linked data. For the use case of cross searching excavation datasets, we identified a set of commonly occurring patterns in the datasets and the CRM. These patterns are expressed as templates. Choosing a template and providing the associated data corresponds to making a mapping to the CRM entities associated with the template. Tools and guidelines allow a data provider to generate RDF by choosing a template for a particular data pattern.
Collaborators at the Archaeology Data Service (ADS) who were not then familiar with semantic technologies or the CRM were able to start from CSV files (from different recording systems) and publish linked data.
The ADS describe the steps they followed at http://archaeologydataservice.ac.uk/research/stellar/
Tools, example templates and documentation available from
http://hypermedia.research.glam.ac.uk/resources/STELLAR-applications/
Ceri Binding's presentation at Digital Past 2013 discusses a pilot study cross searching museum data http://hypermedia.research.glam.ac.uk/publications/#kos
Doug
Douglas Tudhope
Professor, Faculty of Advanced Technology
University of Glamorgan
Pontypridd CF37 1DL
Wales, UK
Tel +44 (0) 1443-483609
Fax +44 (0) 1443-482715
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http://hypermedia.research.glam.ac.uk/people/tudhope/
Editor : The New Review of Hypermedia and Multimedia
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