Some people might find the N3 serialization useful.
It simply lists the subject, predicate and object followed by a period.
It is somewhat easier to interpret, and can be easy to make. You can even create this with apps like FileMaker Pro.
You can then take this N3 form and convert it to RDF using online tools or standard libraries.
Many if not most of the triple / quad stores can read in the n3 form directly.
Here is an example that links a species concept to a geographical location. (in both directions)
- Pete
On Wed, Oct 6, 2010 at 9:51 AM, Bob Morris
<morris.bob@gmail.com> wrote:
On Wed, Oct 6, 2010 at 8:53 AM, Peter DeVries <pete.devries@gmail.com> wrote:
>[...]
> I think part of the problem we are having is that people are not recognizing
> how different RDF is from straight XML.
> ...
It's way worse than that. RDF is not XML at all. RDF/XML is merely a
serialization of RDF It's not even the most human readable
serialization. In fact it is one of the \worst/ for humans who need to
figure out what triples are actually in play. It is so ubiquitous
only because there are more tools that can process RDF/XML than any of
the other RDF serialization syntaxes (syntices???). The persistent
myth that human readability is an advantage of XML pretty much ignores
all the use cases that humans have for reading something. It's about
as readable as Lisp. Indeed, a Lisp loving colleague said of XML on
the occasion of its first W3 recommendation : "I get it. It's Lisp
with pointy brackets."
Bob
--
Robert A. Morris
Emeritus Professor of Computer Science
UMASS-Boston
100 Morrissey Blvd
Boston, MA 02125-3390
Associate, Harvard University Herbaria
email: morris.bob@gmail.com
web: http://bdei.cs.umb.edu/
web: http://etaxonomy.org/mw/FilteredPush
http://www.cs.umb.edu/~ram
phone (+1) 857 222 7992 (mobile)
--
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Pete DeVries
Department of Entomology
University of Wisconsin - Madison
445 Russell Laboratories
1630 Linden Drive
Madison, WI 53706
TaxonConcept Knowledge Base /
GeoSpecies Knowledge BaseAbout the GeoSpecies Knowledge Base
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