Re: SemWeb RDF C# Library version 1.0

Andrew Matthews wrote:
> Well done, Josh!
> 
> I have added .NET integrated query support (.NET 3.5) with a LINQ
> query provider called LINQ to RDF. The target query functionality is
> for SPARQL (SELECT) although there is also limited support for
> RSquary graph matching.
> 
> More info can be found at http://code.google.com/p/linqtordf/

That's really neat and I look forward to trying it out.

-- 
- Josh Tauberer

http://razor.occams.info

"Yields falsehood when preceded by its quotation!  Yields
falsehood when preceded by its quotation!" Achilles to
Tortoise (in "Gödel, Escher, Bach" by Douglas Hofstadter)


> 
> Regards, Andrew Matthews Readify | Senior Developer M: +61 400 188
> 995 | C: andrew.matthews@readify.net
> 
> -----Original Message----- From: semantic-web-request@w3.org
> [mailto:semantic-web-request@w3.org] On Behalf Of Joshua Tauberer 
> Sent: Monday, 11 June 2007 7:33 AM To: semantic-web at W3C Subject:
> SemWeb RDF C# Library version 1.0
> 
> 
> I didn't plan it this way, but it was exactly two years ago to the
> day that I emailed the list announcing a relatively new project, a
> RDF library in C#. This post announces version 1.0 of the project.
> 
> SemWeb: RDF Library for .NET ============================
> 
> http://razor.occams.info/code/semweb/ Version 1.0
> 
> Mail list: http://groups.yahoo.com/group/semweb-dotnet/
> 
> Overview --------
> 
> SemWeb is my Semantic Web/RDF library written in C# for Microsoft's
> .NET 1.1/2.0 or Mono. The library can be used for reading and writing
> RDF (XML, N3), keeping RDF in persistent storage (memory, MySQL,
> etc.), and querying persistent storage via simple graph matching and
> SPARQL, and making SPARQL queries to remote endpoints. Limited RDFS
> and general-purpose inferencing is also possible. SemWeb's API is 
> straight-forward and flexible.
> 
> SemWeb is released under the terms of the Creative Commons
> Attribution License (why? I dunno). SPARQL support is based on Ryan
> Levering's SPARQL implementation in Java, converted to .NET with
> IKVM. The Euler class for general-purpose inferencing is adapted from
> Jos De Roo's JavaScript Euler inferencing engine.
> 
> Benchmarks ----------
> 
> I've used the library to create a triple store of over 50 million 
> triples, and I'd have gone higher if I had the hard drive space.
> Loading the LUBM(50) benchmark of 6.9M triples into a MySQL backend,
> on modest desktop hardware, took 30 minutes (3.8k stmts/sec), and 769
> MB (117 bytes/stmt). Many of the LUBM sample queries were possible
> and finished in about 2 seconds (not great).
> 
> Features --------
> 
> * Straightforward and consistent API; really easy to deploy; no 
> platform-specific dependencies. * RDF/XML: Reading and writing
> RDF/XML. * Notation 3: Reading/writing NTriples, Turtle, and most of
> Notation 3. * SQL DB-backed persistent storage for MySQL, Sqlite, and
> PostgreSQL. * There is of course also a memory-backed store. *
> Persistent storage supports an extended Select operation to query
> many things at once (much faster than making individual calls to the
>  underlying database). * Reasoning: RDFS reasoning (though not
> complete) and rule-based reasoning based on the backward-chaining
> Euler engine, over any data. * 4-Tuples: Statements are quads, not
> triples. The fourth meta field can be used for application-specific
> purposes, like storing provenance, grouping statements, or storing N3
> formulas. * Querying: Simple graph entailment tests and SPARQL
> queries over any data source, a remote SPARQL store (read-only
> persistent storage backed by a remote SPARQL-over-HTTP service and
> methods for making arbitrary SPARQL queries), and an ASP.NET SPARQL
> Protocol handler. * Extensibility: Implementing new persistent
> storage or sources of statements is as simple as implementing an
> interface. * Experimental/undocumented algorithms for finding MSGs
> and making graphs lean.
> 
> That's it ---------
> 
> (Thanks to everyone who has sent in bug reports over the last two
> years!)
>

Received on Monday, 11 June 2007 11:55:05 UTC