Apologies for cross-posting...

The Foresite [1] project is pleased to announce the initial code of two
software libraries for constructing, parsing, manipulating and
serialising OAI-ORE [2] Resource Maps.  These libraries are being
written in Java and Python, and can be used generically to provide
advanced functionality to OAI-ORE aware applications, and are compliant
with the latest release (0.9) of the specification.  The software is
open source, released under a BSD licence, and is available from a
Google Code repository:

http://code.google.com/p/foresite-toolkit/

You will find that the implementations are not absolutely complete yet,
and are lacking good documentation for this early release, but we will
be continuing to develop this software throughout the project and hope
that it will be of use to the community immediately and beyond the end
of the project.

Both libraries support parsing and serialising in: ATOM, RDF/XML, N3,
N-Triples, Turtle and RDFa

Foresite is a JISC [3] funded project which aims to produce a
demonstrator and test of the OAI-ORE standard by creating Resource Maps
of journals and their contents held in JSTOR [4], and delivering them as
ATOM documents via the SWORD [5] interface to DSpace [6].  DSpace will
ingest these resource maps, and convert them into repository items which
reference content which continues to reside in JSTOR.  The Python
library is being used to generate the resource maps from JSTOR and the
Java library is being used to provide all the ingest, transformation and
dissemination support required in DSpace.

Please feel free to download and play with the source code, and let us
have your feedback via the Google group:

[EMAIL PROTECTED]

All the best,

Richard Jones & Rob Sanderson

[1] Foresite project page: http://foresite.cheshire3.org/
[2] OAI-ORE specification: http://www.openarchives.org/ore/0.9/toc
[3] Joint Information Systems Committee (JISC): http://www.jisc.ac.uk/
[4] JSTOR: http://www.jstor.org/
[5] Simple Web Service Offering Repository Deposit (SWORD):
http://www.ukoln.ac.uk/repositories/digirep/index/SWORD
[6] DSpace: http://www.dspace.org/

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