Re: connections

adasal wrote:
> 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'?
Make a Linked Data SOS call, in some form: plain English (or other 
language) mail, tweet etc., a URL to nothing (i.e., I would someday like 
to access Structured Data from here), whatever. Key thing is making a 
request for the structured data you couldn't find or the query that you 
would like answered (as you did re. Tomatoes).

> 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.
The process of discovering, scraping, and transforming is getting more 
automated by the second in a myriad of ways.

Here is an old animation showing how the process of Sponging works re. 
Generation of RDF based Linked Data from existing Web accessible 
resources [1].
> For instance a search for tomato filtered by seed and gardening return 
> 191 results on delicious.

And you can pass that through URIBurner [2][3] and start the process of 
exploring a progressively constructed Linked Data graph via the 
Descriptor Documents it generates from the Del.icio.us links.
>
> How good is the data this returns? 

Depends, Data is not only like Electricity, it carries the Subjectivity 
factory of Beauty :-)
> We don't know, maybe it would be better to just use a search engine, 
> which is back to square one.

Of course not, what you need is Search++ (Precision Find across 
progressively assembled structured linked data meshes) [4] .
> 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?
Take a look at my collection of saved query results and queries (the 
URLs are hackable).
> Ideally that query should be able to be run against DBPedia 
> interchangeably.

If it stumbles across the DBpedia Data Space on the way, naturally [5].
> I guess there will be a meeting in the middle.

Always.

Links:

1.  http://bit.ly/6XZy2Q -- Animation showing how transformation 
middleware will contribute to the burgeoning Web of Linked Data (first 
version of this animation was shown in 2007)
2. http://uriburner.com -- a service that generates structured 
descriptor documents for existing Web resources (e.g. Web Pages)
3. http://ode.openlinksw.com -- a browser ext. or bookmarklet that 
connects you to the public URIBurner instance (which is just a Virtuoso 
Sponger Middleware instance) or your own instance (wherever that may be 
including your private network or desktop etc.)
4. http://www.youtube.com/watch?v=YkzghnkuOzA -- example of Precision 
Find that leverages the burgeoning Web of Linked Data (basically query 
over a LOD Cloud Cache instance that grows progressively courtesy of 
public use of items #2 and #3 above + services like PingTheSemanticWeb 
and Sindice and other sources)
5. http://bit.ly/aEUdUV -- examples of how the Sponger Middleware is 
incorporated into Virtuoso's SPARQL processor via some tutorials 
(somewhat technical)
6. http://www4.wiwiss.fu-berlin.de/bizer/ng4j/semwebclient/ -- Semantic 
Web Client another example of the kind of crawling I referred to above 
within the context of a query that delivers "Find" functionality .


Kingsley
>
> Adam
>
> On 19 April 2010 17:31, Kingsley Idehen <kidehen@openlinksw.com 
> <mailto:kidehen@openlinksw.com>> wrote:
>
>     kkw@MIT.EDU <mailto:kkw@MIT.EDU> wrote:
>
>         Quoting Kingsley Idehen <kidehen@openlinksw.com
>         <mailto: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
>                 <mailto: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
>                         <mailto:kidehen@openlinksw.com>> wrote:
>
>
>                             Danny Ayers wrote:
>
>
>                                 On 16 April 2010 19:29, greg masley
>                                 <roxymuzick@yahoo.com
>                                 <mailto: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
>                                     <mailto: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
>
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>                     -- 
>
>                     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
>
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>             -- 
>
>             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
>
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>     -- 
>
>     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
>
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-- 

Regards,

Kingsley Idehen       
President & CEO 
OpenLink Software     
Web: http://www.openlinksw.com
Weblog: http://www.openlinksw.com/blog/~kidehen
Twitter/Identi.ca: kidehen

Received on Monday, 19 April 2010 20:39:30 UTC