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Fwd: [periodicals] Announce: Sample Linked Periodical Data

From: Leigh Dodds <leigh.dodds@talis.com>
Date: Mon, 27 Apr 2009 10:12:45 +0100
Message-ID: <f323a4470904270212w11c1fde7r505ce611e510584@mail.gmail.com>
To: public-lod@w3.org
Hi,

The following announcement will be of interest to this community. To provide
some background, following
an initial idea and subsequent discussion amongst the bibliographic ontology
community (see [1] and onward links),
I've published a very early draft of some journal metadata available as
linked opendata.

The intention is to provide some high level data about publications, rather
than their contents (the
latter would be a complementary activity). At this stage we're attempting to
begin collating available
data, and the dataset referred to below is the first stab at representing
this using the BIBO ontology.

The data is not yet well linked, e.g. to other LOD resources, but this
something that will be addressed
as the project develops.

The project is one of several nascent data conversion projects at the new
dataincubator.org website [2].
The code for the project is in the dataincubator SVN at [3].

Cheers,

L.

[1].
http://community.muohio.edu/blogs/darcusb/archives/2009/04/20/linked-periodical-data
[2]. http://dataincubator.org
[3]. http://code.google.com/p/dataincubator/source

---------- Forwarded message ----------
From: Leigh Dodds <leigh.dodds@talis.com>
Date: 2009/4/27
Subject: [periodicals] Announce: Sample Linked Periodical Data
To: bibliographic-ontology-specification-group@googlegroups.com
Cc: dataincubator@googlegroups.com


Hi,

I spent some time over the weekend putting together a couple of quick data
conversions to
publish some linked periodical data for people to start playing with and
discussing.

The data is available as linked data from the DataIncubator.org website
here:

 http://periodicals.dataincubator.org/

As the Void description for the dataset illustrates, there is a SPARQL
endpoint for
the data at:

 http://api.talis.com/stores/periodicals/services/sparql

The dataset currently contains information that I've merged from two
sources:

* The NLM journal lists available from [1]. Specifically the Pubmed journal
list
* The list of Highwire titles available from [2]

The NLM journal list is just over 21000 titles. The Highwire list is around
1100. The two
overlap, but I've not measured by how much.

In generating URIs for the journal I've either used the NLM journal id
(where I had it)
or generated a simple uri based on the homepage. However, following some
discussion
with Chris Clarke, for both datasets I've also included owl:sameAs
statements to URIs
based on the ISSN and EISSN identifiers. This should provide some points
around which
to merge datasets.

Some examples:

Sample NLM journal:

 http://periodicals.dataincubator.org/journal/0155161

Note I've included links to a couple of NLM services.

Sample Highwire journal:

 http://periodicals.dataincubator.org/journal/theoncologist-alphamedpress

To see the additional owl:sameAs relationships, look at Science Magazine
from
the Highwire dataset:

 http://periodicals.dataincubator.org/journal/sciencemag

This is owl:sameAs:

 http://periodicals.dataincubator.org/issn/0036-8075

Which is owl:sameAs the same title from the NLM data:

 http://periodicals.dataincubator.org/journal/0404511

I hope to have the Ruby code published for others to look at later today.

I'm more than happy to debate the modelling. At this point nothing is fixed,
I
just wanted to help get the ball rolling by providing some data for people
to play
with.

Cheers,

L.

[1]. http://www.ncbi.nlm.nih.gov/entrez/citmatch_help.html#JournalLists
[2]. http://highwire.stanford.edu/institutions/AtoZList.xls

-- 
Leigh Dodds
Programme Manager, Talis Platform
Talis
leigh.dodds@talis.com
http://www.talis.com



-- 
Leigh Dodds
Programme Manager, Talis Platform
Talis
leigh.dodds@talis.com
http://www.talis.com
Received on Monday, 27 April 2009 09:13:26 UTC

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