Re: connections

People are categorising and linking all the time. e.g. twitter, another
recent thread on this list, delicious and so on.
What do you mean by 'ask for a link'?
Place what they have done into linked data format and ... ?
But there is an obvious problem of the existing data that needs to be
scraped and converted, which I think would be the shortest path to linked
data on tomato growing.
For instance a search for tomato filtered by seed and gardening return 191
results on delicious.

How good is the data this returns? We don't know, maybe it would be better
to just use a search engine, which is back to square one.
Supposing that the data is good, that is well categorised, and that there is
some way to manipulate the data through the api to hone it to what is
required, tomato seed growing in a particular region in Italy is the
suggestion that this query be saved somewhere as linked data?
Ideally that query should be able to be run against DBPedia interchangeably.
I guess there will be a meeting in the middle.

Adam

On 19 April 2010 17:31, Kingsley Idehen <kidehen@openlinksw.com> wrote:

> kkw@MIT.EDU wrote:
>
>> Quoting Kingsley Idehen <kidehen@openlinksw.com>:
>>
>>  Danny Ayers wrote:
>>>
>>>> Thanks Kingsley
>>>>
>>>> still not automatic though, is it?
>>>>
>>>>  Is it "Automatic or Nothing?" .
>>>
>>> What's mechanical to Person A might be automatic to Person B, both are
>>> individual operating with individual context lenses (world views and skill
>>> sets).
>>>
>>> What I can say is this: we can innovate around the Outer Join i.e., not
>>> finding what you seek triggers a quest for missing data discovery and/or
>>> generation. Now, that's something the Web as a discourse medium can actually
>>> facilitate, once people grok the process of adding Structured Data to the
>>> Web etc..
>>>
>>>
>>> Kingsley
>>>
>>
>> Hmmm...Has anyone thought about some sort of LinkIt service where
>> non-programmers could identify things they're linking manually and ask for
>> a
>> link?
>>
>
> We are gradually moving to things like this under the general banner of
> Annotations and Data Syncs.
>
> Ironically, its 2010 and still don't even have DDE (a 1980's technology)
> re. data change notification and subscription etc..
>
> Anyway, these things are coming, pubsubhubbub applied to linked data,
> annotations (simply UIs for 3-Tuple conversations) etc..
>
>
>
>  Would that open the door for identifying those that could be
>> auto-generated and those that could build social pressure for SemWeb
>> annotations and data owner participation?   -k
>>
>
> I call this Data Spaces and Data Driven Discourse, its all coming :-)
>
>
> BTW - Twitter may also help accelerate comprehension and appreciation of
> what you seek. Many sources of solutions are taking shape etc..
>
> Very good point, by the way!
>
>
> Kingsley
>
>
>>
>>
>>  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
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>
>>>>
>>>>
>>>>
>>>
>>> --
>>>
>>> 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
>
>
>
>
>
>