Hi,
I'm not sure about the discovery part - that seems to be more a meta-
layer with data describing linked datasets (VoiD [1]). However, I
agree that inference would have to be in layer 4 and up. Things like
non-explicit object consolidation, vocabulary and ontology mapping,
etc. will be necessary to integrate the data even beyond the point of
explicit links.
@ravinder: I like the three layers you propose - is there a reference
for that, or did you come up with it just now? I'd love to reference
it in my PhD thesis!
Cheers,
Knud
[1] http://semanticweb.org/wiki/VoiD
On 15.12.2008, at 20:54, Juan Sequeda wrote:
Hi Ravinder,
Interesting points. I would say that Layer 4 would be "discovery".
Furthermore, this would be an inference layer that would allow
discovery. After having linked data, applications will be able to
discover new data. So maybe layer 4 and up are part of the
applications that enable discovery. Anyways, that is what I see what
the semantic web is about: discovery and serendipity.
Juan Sequeda, Ph.D Student
Dept. of Computer Sciences
The University of Texas at Austin
www.juansequeda.com
www.semanticwebaustin.org
On Sat, Dec 13, 2008 at 11:16 AM, रविंदर ठाकुर (ravinder thakur) <ra
vindertha...@gmail.com> wrote:
Hello Friends,
We have now reasonably good repository of linked data but i am not
able to find any good application being made out of it. From the
dicsussion on these mailing lists and other places, i got the
feeling that everyone in semantic world thinks that semantic web is
something big but unfortunately nobody is able to think of an
application for _general public_ that can be based on semantic web
data we have currently.
This led me to wonder that are there any more layers of information
organization missing in the semantic web stack that are needed to
generate good usable semantic web data which can be more useful for
generating useful semantic apps . Few of the concepts i was thinking
for upper layers to implement were like categorization, set
formation(eg MIT passout in 2002), set intersection, etc. With these
higher level layers I was hoping to build a system to find higher
level relations say between places with low cancer rates and the
food people eat there or any perticular gene found in such people.
The current semantic stack looks like this:
.....
layer5 (???)
layer4 ( ???)
layer3 linked facts (isa(mars,planet) AND partof(mars,solarsystem)
AND mass(mars,6566.1255kg))
layer2 facts (isa(mars,planet), isa(cow,animal))
layer1 objects (eg cow, mars, man)
Are there any other thoughts on the need of layers above the layer 3
(linked data ) or these layers will be defined by the respective
apps developers ? Even if there isn't any need, i would atleast like
to have a discussion on the kind upper level layers we might need :)
thanks
ravinder thakur
-------------------------------------------------
Knud Möller, MA
+353 - 91 - 495086
Smile Group: http://smile.deri.ie
Digital Enterprise Research Institute
National University of Ireland, Galway
Institiúid Taighde na Fiontraíochta Digití
Ollscoil na hÉireann, Gaillimh
