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Subject: RE: [search-ws] Relationship of CQL to SPARQL/SQL?

I don't have any wisdom to contribute on this.  CQL is about as far away
from SPARQL as it is from SQL.  They are completely different searching

On the other hand, CQL and the Lucene Query Language are reasonably
close.  I've not done any comprehensive analysis of the two, but I've
been able to write some simple translators from CQL to Lucene for my SRW


> -----Original Message-----
> From: Hammond, Tony [mailto:t.hammond@nature.com]
> Sent: Monday, January 25, 2010 12:15 PM
> Subject: [search-ws] Relationship of CQL to SPARQL/SQL?
> Hi:
> One thing I wanted to bring up here was whether there should (or
could) be
> some kind of scoping note (either within the spec as an informational
> or somewhere else readily accessible (website?, paper?) that would
> CQL to other well-known query initiatives - specifically SPARQL and
> This message (dated 2008-04-10, and cc'ed below for convenience) from
> MacKenzie Smith which quotes Rob Sanderson
> https://simile.mit.edu/mail/ReadMsg?listName=Dev&msgId=25018
> seems to provide a good starting point.
> I, for one, could really do with some help in clarifying the role that
> has to play in searching bib records in a world that is now
> atomizing to the datum level (cf. recent releases of data.gov.uk and
> data.gov) and is turning towards semantic solutions (SPARQL) as the ne
> ultra having relied previously upon the relational model (SQL).
> Are bib records really that different from data? Some kind of document
> set the context for the current work could be really helpful. Maybe
its just
> the level of granularity supported by bib apps that makes them
> different? And then besides bib vs data, there's also bib vs bib, e.g.
> does CQL stack up against Lucene/SOLR, etc?
> Does that make any sense?
> Cheers,
> Tony
> ===
> Hi Kjetil,
> I took the liberty of asking Rob Sanderson from the SRU technical
> committee about this,
> and here are his comments:
> "The CQL <--> SPARQL Mapping question has come up (quite a while ago
> and more commonly CQL <--> SQL.
> The main challenge in any CQL <--> SPARQL mapping is the different
> things which the languages consider atomic.  SPARQL works at the rdf
> triple level, whereas CQL assumes that there is some record or item
> which contains information.  Normally you would want to model items as
> [named] graph of triples, so there's some discrepancy in what the
> queries should return.
> In CQL <--> SQL it's a similar problem, in that the result of an SQL
> query is a table not zero or more items, but it's easier to turn a
> into XML than a set of RDF triples.
> Secondly, CQL doesn't have the concept of variables, as there aren't
> relationships to follow.  So while in SPARQL you can do clever things
> like 'find all authors who have co-authored with someone who has
> a book that has "information" in the title', in CQL the context of
> sub-query isn't carried over to the rest of the query.
> A mapping would at least require some definition of what an 'item' (or
> 'record') is from the matching graph. In the named graph world view
> is easier, as the trivial mapping would be record == named graph, but
> the all-triples-stand-alone view, it becomes rather arbitrary."
> Rob is happy to give this more thought if there's interest, and he can
> be found at
> [email hidden]
> MacKenzie
> ===
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