Re: connections

>
> Agriculture oriented data spaces (ontology and instance data)
>
How could that ever be automatic?

> Agriculture oriented data spaces (ontology and instance data)
>
Cannot anticipate every possible query, or even broad area of interest, in
DBpedia.
There must be an impulse to make a query of some sort. The issue is how
complex that query must be.
Isn't the implicit question why cannot some small query be enough to draw
out the information I want?
Here the query terms should be enough to form a coherent query. In this
example they should translate into a sparql query. But that is not enough,
because DBPedia needs a schema and some instance data too. erm.
Or perhaps it could be semi-automatic?
Imagine that there is a repository with sample kinds of data in it. I think
this would be easy to use.
I want to build up a query about tomato seeds, planting, region, time of
year. So some general data is classified along those lines. That would be
combined into a schema. Maybe some of it would be a subset of other schemas,
so in my making the choice further useful suggestions could be made. I would
then be asked to refine the parameters of the query by actual region, etc.
I am assuming that interested parties would make available basic meta data
sets with human understandable sample data.

Am I making any sort of sensible suggestion here? Is this different to what
already exists as available triples? I am unsure. There is something
circular here.

Even so we are still left with that data that has not been classified
because there is no interested party to do so, or because the type of
classification is new, complex or transient.

Adam

On 18 April 2010 21:56, Danny Ayers <danny.ayers@gmail.com> wrote:

> Thanks Kingsley
>
> still not automatic though, is it?
>
> On 18 April 2010 22:38, Kingsley Idehen <kidehen@openlinksw.com> wrote:
> > Danny Ayers wrote:
> >>
> >> Kingsley, how do I find out when to plant tomatos here?
> >>
> >
> > And you find the answer to that in Wikipedia via
> > <http://en.wikipedia.org/wiki/Tomato>? Of course not.
> >
> > Re. DBpedia, if you have a Agriculture oriented data spaces (ontology and
> > instance data) that references DBpedia (via linkbase) then you will have
> a
> > better chance of an answer since we would have temporal properties and
> > associated values in the Linked Data Space (one that we can mesh with
> > DBpedia even via SPARQL).
> >
> > Kingsley
> >>
> >> On 17 April 2010 19:36, Kingsley Idehen <kidehen@openlinksw.com> wrote:
> >>
> >>>
> >>> Danny Ayers wrote:
> >>>
> >>>>
> >>>> On 16 April 2010 19:29, greg masley <roxymuzick@yahoo.com> wrote:
> >>>>
> >>>>
> >>>>>
> >>>>> What I want to know is does anybody have a method yet to successfully
> >>>>> extract data from Wikipedia using dbpedia? If so please email the
> >>>>> procedure
> >>>>> to greg@masleyassociates.com
> >>>>>
> >>>>>
> >>>>
> >>>> That is an easy one, the URIs are similar - you can get the pointer
> >>>> from db and get into wikipedia. Then you do your stuff.
> >>>>
> >>>> I'll let Kingsley explain.
> >>>>
> >>>>
> >>>>
> >>>
> >>> Greg,
> >>>
> >>> Please add some clarity to your quest.
> >>>
> >>> DBpedia the project is comprised of:
> >>>
> >>> 1. Extractors for converting Wikipedia content into Structured Data
> >>> represented in a variety of RDF based data representation formats
> >>> 2. Live instance with the extracts from #1 loaded into a DBMS that
> >>> exposes a
> >>> SPARQL endpoint (which lets you query over the wire using SPARQL query
> >>> language).
> >>>
> >>> There is a little more, but I need additional clarification from you.
> >>>
> >>>
> >>> --
> >>>
> >>> Regards,
> >>>
> >>> Kingsley Idehen       President & CEO OpenLink Software     Web:
> >>> http://www.openlinksw.com
> >>> Weblog: http://www.openlinksw.com/blog/~kidehen<http://www.openlinksw.com/blog/%7Ekidehen>
> >>> Twitter/Identi.ca: kidehen
> >>>
> >>>
> >>>
> >>>
> >>>
> >>>
> >>
> >>
> >>
> >>
> >
> >
> > --
> >
> > Regards,
> >
> > Kingsley Idehen       President & CEO OpenLink Software     Web:
> > http://www.openlinksw.com
> > Weblog: http://www.openlinksw.com/blog/~kidehen<http://www.openlinksw.com/blog/%7Ekidehen>
> > Twitter/Identi.ca: kidehen
> >
> >
> >
> >
> >
>
>
>
> --
> http://danny.ayers.name
>
>