- From: Martynas Jusevičius <martynas@graphity.org>
- Date: Thu, 9 Oct 2014 23:43:12 +0200
- To: Paul Trevithick <ptrevithick@gmail.com>
- Cc: Semantic Web <semantic-web@w3.org>
Paul, 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 Martynas graphityhq.com On Thu, Oct 9, 2014 at 11:28 PM, Paul Trevithick <ptrevithick@gmail.com> wrote: > I'm working on project that involves integrating data from many disparate sources into an RDF repository-based data warehouse. We plan to develop an OWL ontology for data in the repository. We plan to code up data connectors to perform ETL operations and populate the repository with RDF data that adheres to this common ontology. The data sources use various access methods, data formats and schemas. > > In the non-semweb world there are technologies that allow the "source" and the "target" schemas to be defined, that allow declarative rules to be developed (sometimes by point and click tools) the source schema to the target schemas, and code that consumes these rules and transforms the data into the target schema. In the non-webweb world our data connectors could leverage these technologies. > > Are there emerging best practices for doing the equivalent of schema mapping in semweb world? We'd like to limit our data connector code to generating RDF triples from a data source, and rely on some other technology to, given some kind of ontology-to-ontology mapping rules, transform RDF data adhering to the source ontology into RDF data adhering to the repository's target ontology. > > Paul
Received on Thursday, 9 October 2014 21:43:50 UTC