- From: adasal <adam.saltiel@gmail.com>
- Date: Mon, 19 Apr 2010 22:37:48 +0100
- To: Kingsley Idehen <kidehen@openlinksw.com>
- Cc: kkw@mit.edu, 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>
- Message-ID: <r2re8aa138c1004191437sc0e336cew873fb6ae39f40db0@mail.gmail.com>
Kingsley, Thank you very much. I should have the opportunity to follow this up over this week. Adam On 19 April 2010 21:38, Kingsley Idehen <kidehen@openlinksw.com> wrote: > 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> >> <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> >> <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> >> <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> >> <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 > > > > >
Received on Monday, 19 April 2010 21:38:55 UTC