- From: <kkw@MIT.EDU>
- Date: Mon, 19 Apr 2010 10:44:21 -0400
- 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