W3C home > Mailing lists > Public > semantic-web@w3.org > April 2010

Re: connections

From: <kkw@MIT.EDU>
Date: Mon, 19 Apr 2010 10:44:21 -0400
Message-ID: <20100419104421.sfe674fyck88ksok@webmail.mit.edu>
To: Kingsley Idehen <kidehen@openlinksw.com>
Cc: Danny Ayers <danny.ayers@gmail.com>, greg masley <roxymuzick@yahoo.com>, Semantic Web <semantic-web@w3.org>, "dbpedia-discussion@lists.sourceforge.net" <dbpedia-discussion@lists.sourceforge.net>
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?  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



>> 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
>>>>> Twitter/Identi.ca: kidehen
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>
>>>>
>>>>
>>> --
>>>
>>> Regards,
>>>
>>> Kingsley Idehen       President & CEO OpenLink Software     Web:
>>> http://www.openlinksw.com
>>> Weblog: http://www.openlinksw.com/blog/~kidehen
>>> Twitter/Identi.ca: kidehen
>>>
>>>
>>>
>>>
>>>
>>>
>>
>>
>>
>>
>
>
> -- 
>
> 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 14:45:37 UTC

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