Hi Jeni!
Thanks, that looks interesting, and the idea of supporting similar
mappings to XML and to CSV is very attractive.
I also find this attractive :)
But I couldn't actually work out how I would use it in the kind of
situation we find ourselves in. We have, for example, RDF like this:
Hi Jeni,
One project, amongst other, in this trend is irON [1] (with its
irJSON[2] serialization profile).
Also note that a revision of this specification will be released in the
coming month or so based on the latest work we have done regarding the
development of some parsers. The biggest
Hi Kingsley,
Why not use Jeni's dump as a usecase example/tutorial re. irON? A What
(for the problem), Why (for irON virtues) and a How (an example based
on the usecase presented). This is how you can formulate a very sharp
apex for the irON value pyramid. Also note, UK, US, and Aussie
Hi all,
The Web of Linked
Data shouldn't be about mass crawling (search engine style) etc...
It has to be. How would you answer a query like all offers for a book
written by a German author without crawling the relevant data sets?
First question would be: which dataset has this
Hi all,
Maybe that structWSF, conStruct some extensions to conStruct developed
by the community could meet these needs. I would suggest you to take a
look at the two systems here:
http://openstructs.org/structwsf/ (structWSF)
http://constructscs.com (conStruct)
Here are some observations:
Hi Chris,
don't know. In a O'Reilly about Google's RDFa support, Guha says that they draw and plan to draw from existing vocabularies.
And we're not going to do this all by ourselves. As it is, we are drawing from
several sources. We're drawing from microformats. We're drawing from vCard.
Hi Kingsley,
don't know. In a O'Reilly about Google's RDFa support, Guha says that
they draw and plan to draw from existing vocabularies.
And we're not going to do this all by ourselves. As it is, we are
drawing from several sources. We're drawing from microformats. We're
drawing from
Hi Marko!
I'm finishing up the final version/draft of the LOD March 2004 analysis
(see the first draft at [1]). I was wondering if there is a easily
parseable format for getting the graph structure of the Linked Data cloud.
That is, something analogous to how [2] provides [3]. Hopefully
Hi Dan,
Certainly a useful concept to have name(s) for, ... but I think not
quite what is needed to link these specific datasets. The W3C wordnet
data is a collection of descriptions of linguistic concepts. The
OpenCyc things they're linked to are not linguistic entities, but the
real world
Hi Sherman,
The link in ref [1] is a typo, should be http://umbel.zitgist.com
http://umbel.zitgist.org/
Oups, thanks for noticing :)
Take care,
Fred
Hi everybody,
We are pleased to announce the release of some RESTful UMBEL Web
services endpoints. [1]
Two blog posts introducing the series of Web services endpoint can be
read here: [2] [3]
A document talking about the philosophy behind these Web service
endpoints can be read here:
Hi Gong!
And I still have some questions to be clarified. I've downloaded
class_level_lod_constellation.csv, which gives relations between
ontologies rather than between classes. Are there any class-level mappings
available? And, how do you obtain such mappings? Is it just based on
explicitly
Hi all,
Wikipedia URIs evolve over time as new concepts are added and
disambiguated. Any data linked to those URIs would need remapping.
There is also a notability requirement for existence.
UMBEL has a nice subject concept space, though some would argue it is
just one view of the world.
Hi all,
First of all, I think that this thread is going out of control and some
things have to be keep into mind when we talk about this stuff.
Then between UMBEL and OpenCyc:
1. owl:sameAs
2. owl:equivalentClass
If these thingies are owl:sameAs, then presumably they have same
Hi Matthias,
But are data objects not just another layer of abstraction? RDF/OWL
gives us the possibility to use URIs and ontologies to describe the
things we are interested in (districts, people, protein sequences)
without taking detours through thinking in terms of documents, data
sets,
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