- From: David Booth <david@dbooth.org>
- Date: Tue, 14 Oct 2014 11:55:24 -0400
- To: semantic-web@w3.org
You might look at Top Quadrant's SPIN Map: http://composing-the-semantic-web.blogspot.com/2011/04/spinmap-sparql-based-ontology-mapping.html I think there's a video here also; http://vimeo.com/22695742 At the last SemTech conference Rafael Richards described a short demonstration that TopQuadrant did mapping some simple VA health data: http://dbooth.org/2014/richards/Linked-Vitals-RMRichards-20140820-v3.pdf Commercial integration engines provide GUIs for creating mappings between different data representations, but AFAICT they are not yet using RDF as a common information representation, and they often use their own proprietary scripting languages and techniques for performing the data translations. I think it would be great if they could use RDF, and offered the ability to export the created translation rules in a standard, executable languages, such as SPARQL. I think this is an unmet opportunity. The HL7 web site lists some integration engines (or "interface engines"): http://www.hl7.com/interface-engine.html David On 10/14/2014 11:16 AM, Paul Trevithick wrote: > Thanks Martynas for these links. Indeed SPARQL CONSTRUCT queries can > perform the data translation from ontology A to ontology B. And, being > declarative, they are one step better than custom code, but what I'm > seeking is tools (preferably point and click tools) to help write these > queries given A and B as input. > > On Oct 9, 2014, at 5:43 PM, Martynas Jusevičius <martynas@graphity.org > <mailto:martynas@graphity.org>> wrote: > >> what about simple SPARQL CONSTRUCT queries? They can serve as reusable >> transformations between vocabularies. This idea is not new: >> http://composing-the-semantic-web.blogspot.dk/2006/09/ontology-mapping-with-sparql-construct.html >> http://www.slideshare.net/andreas_schultz/data-translation-with-sparql-11 >
Received on Tuesday, 14 October 2014 15:55:54 UTC