SemAst 2009 2nd Call for Papers
===
Second International Workshop on Practical Semantic Astronomy
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2-5 March 2009
Glasgow, UK.
http://www.dcs.gla.ac.uk/workshops/semast09/
Semantic astronomy promises to
IMO, the (object->fact->links) is what RDF/RDFS/OWL does. So that
complements those layers of the cake.
The objective of the cake (the semantic web) is to allow serendipity and
discovery. So I retract and what I said before. Discovery cannot be a layer;
it should be Inference. The fifth layer is t
On 16.12.2008, at 17:27, Kingsley Idehen wrote:
Knud et al,
I think Ravinder has started the process of fixing the current
Semantic Web layer cake :-) Which is a very good thing (imho, but
not seeking a Layer Cake discussion explosion).
I'd rather say his proposal (objects->facts->links
shouldn't trust be part of layer where we link distinct information peices
into GGG ? say in we got information from one source that capital of state A
in country B is C. rather than clubbing this information directly into GGG,
shouldn't we just reconfirm it with other sources and then add it if
ma
On 12/16/08 10:44 AM, Knud Hinnerk Möller wrote:
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,
Hi,
one of the things we are doing categorization into DMoz hierarchy.
However while it was easy to create sameAs links for recognized entities
to dbPedia&others, I was dazzled by the lack of DMoz URIs where RDF data
would reside that would represent the categories and their
relationships.
So wha
i dont have any reference. its just i was trying to understand layers of
semantic data and this came up in my mind... :)
On Tue, Dec 16, 2008 at 9:14 PM, Knud Hinnerk Möller
wrote:
> Hi,
>
> I'm not sure about the discovery part - that seems to be more a meta-layer
> with data describing linked d
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
