Olá Pablo! I'm happy that we are thinking along the same lines! Wow, I have some faint memory that I have heard about spotlight but I did not know that it is in this advanced phase!
I checked the demo and I must admit that it is far more advanced than our inlink suggestion stuff is now. The logical step is that we integrate it with Sztakipedia. I will check tha API and come up with a plan by the end of next week. The questions I see now are 1) What is the max text length one can provide? Right now we can send the whole edited article part only (that is an issue we should work on) and that can be quite long sometimes 2) What are the languages spotlight supports? 3) In case of wikipedia, we should link to articles in wikipedia not dbpedia. But if I'm correct I can deduce programmatically the correct string from the dbpedia uri so its just a note really. About SMW integration: in theory SzP should work with any kind of mediawiki with the vector skin - and also is a good vehicle to send any kind of suggestions and wikitext parts to the editor. So it should work. What I'm not familiar is how relation suggestion is done. Is it similar to the spotlight solution? About collecting feedback: absolutely. The only issue now is that we are not identifying the users in any way which should be changed to get sensible data. All the best Mihály On 5 October 2011 17:22, Pablo Mendes <[email protected]> wrote: > Szia Mihály, > This is truly awesome! You have read my mind. > Please take a look at these two related ideas below. > Human-powered data fusion: round trip (in/ex)ternal data reuse in Wikipedia > http://pablomendes.wordpress.com/2011/04/06/human-powered-data-fusion-round-trip-inexternal-data-reuse-in-wikipedia/ > One hands washes the other:round trip semantics with SMW and DBpedia > Spotlight > http://www.slideshare.net/pablomendes/smwcon-fall-2011-lightning-talk > > We should talk about how to integrate Sztakipedia with DBpedia Spotlight > (for the inlink suggestion) and Semantic MediaWiki (for relationship > suggestion). We could use your client also to collect user feedback and > learn from our mistakes. I can see very interesting results coming out of > this. What do you think? > Best, > Pablo > > On Wed, Oct 5, 2011 at 4:48 PM, Mihály Héder <[email protected]> wrote: >> >> Hello, >> >> We have made an Intelligent Assistant for Wiki which puts dbpedia in >> good use, you might be interested in: >> http://www.youtube.com/watch?v=_0ochjAwMkw >> >> I wanted to share this on this list for several reasons: >> 1) I wanted to say thank you for everyone who works on dbpedia, I >> think this is a great achievement. >> 2) Right now Sztakipedia is branded as an "Intelligent Assistant" >> which helps you in the boring work of finding links, references, >> infoboxes, categories etc., while creating a wiki article. But it has >> been designed as a two way tool from the very beginning - what I mean >> by that is that we could have the users to help improving dbpedia data >> only in some a very-nonobtrusive way of course. >> 3) I am interested in your thoughts and remarks in general - you >> surely have good ideas about what could be done with this agent in the >> editor! >> 4) And finally, the most important thing : recently I was asked to >> write a book chapter about the ways of using dbpedia data in mashups. >> Naturally it is my task to do the research and compile a good overview >> on how dbpedia is used in the wild as part of web interfaces. I am >> also familiar with the many white papers on this topic. >> But I still wanted to ask from everyone on this list: What are your >> favorite applications of dbpedia? In your opinion, what should I >> emphasize? >> >> Thanks you! >> >> Best Regards >> Mihály Héder >> Computer and Automation Research Institute >> Budapest, Hungary >> >> >> ------------------------------------------------------------------------------ >> All the data continuously generated in your IT infrastructure contains a >> definitive record of customers, application performance, security >> threats, fraudulent activity and more. Splunk takes this data and makes >> sense of it. Business sense. IT sense. Common sense. >> http://p.sf.net/sfu/splunk-d2dcopy1 >> _______________________________________________ >> Dbpedia-discussion mailing list >> [email protected] >> https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion > > ------------------------------------------------------------------------------ All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity and more. Splunk takes this data and makes sense of it. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2dcopy1 _______________________________________________ Dbpedia-discussion mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion
