The W3C's RDB-to-RDF mapping incubator group (RDB2RDF XG) met in Karlsruhe after ISWC 2008.
The meeting was about writing a charter for a working group that would define a standard for mapping relational databases to RDF, either for purposes of import into RDF stores or of query mapping from SPARQL to SQL. There was a lot of agreement and the meeting even finished ahead of the allotted time.
Whose Identifiers?
There was discussion concerning using the Entity Name Service from the Okkam project for assigning URIs to entities mapped from relational databases. This makes sense when talking about long-lived, legal entities, such as people or companies or geography. Of course, there are cases where this makes no sense; for example, a purchase order or maintenance call hardly needs an identifier registered with the ENS. The problem is, in practice, a CRM could mention customers that have an ENS registered ID (or even several such IDs) and others that have none. Of course, the CRM's reference cannot depend on any registration. Also, even when there is a stable URI for the entity, a CRM may need a key that specifies some administrative subdivision of the customer.
Also we note that an on-demand RDB-to-RDF mapping may have some trouble dealing with "same as" assertions. If names that are anything other than string forms of the keys in the system must be returned, there will have to be a lookup added to the RDB. This is an administrative issue. Certainly going over the network to ask for names of items returned by queries has a prohibitive cost. It would be good for ad hoc integration to use shared URIs when possible. The trouble of adding and maintaining lookups for these, however, makes this more expensive than just mapping to RDF and using literals for joining between independently maintained systems.
XML or RDF?
We talked about having a language for human consumption and another for discovery and machine processing of mappings. Would this latter be XML or RDF based? Describing every detail of syntax for a mapping as RDF is really tedious. Also such descriptions are very hard to query, just as OWL ontologies are. One solution is to have opaque strings embedded into RDF, just like XSLT has XPath in string form embedded into XML. Maybe it will end up in this way here also. Having a complete XML mapping of the parse tree for mappings, XQueryX-style, could be nice for automatic generation of mappings with XSLT from an XML view of the information schema. But then XSLT can also produce text, so an XML syntax that has every detail of a mapping language as distinct elements is not really necessary for this.
Another matter is then describing the RDF generated by the mapping in terms of RDFS or OWL. This would be a by-product of declaring the mapping. Most often, I would presume the target ontology to be given, though, reducing the need for this feature. But if RDF mapping is used for discovery of data, such a description of the exposed data is essential.
Interoperability
We agreed with Sören Auer that we could make Virtuoso's mapping language compatible with Triplify. Triplify is very simple, extraction only, no SPARQL, but does have the benefit of expressing everything in SQL. As it happens, I would be the last person to tell a web developer what language to program in. So if it is SQL, then let it stay SQL. Technically, a lot of the information the Virtuoso mapping expresses is contained in the Triplify SQL statements, but not all. Some extra declarations are needed still but can have reasonable defaults.
There are two ways of stating a mapping. Virtuoso starts with the triple and says which tables and columns will produce the triple. Triplify starts with the SQL statement and says what triples it produces. These are fairly equivalent. For the web developer, the latter is likely more self-evident, while the former may be more compact and have less repetition.
Virtuoso and Triplify alone would give us the two interoperable implementations required from a working group, supposing the language were annotations on top of SQL. This would be a guarantee of delivery, as we would be close enough to the result from the get go.
Related Web resources