evo42 communications Ltd. is using Adobe Flex, AMFPHP, Drupal, OpenCalais, SeeqPod, some magic & a Code Monkey to code a application that uses the 1d barcode information on audio CDs to get the MP3s of that album from a website or webservice. [this is a proposal for a paid article by sitepoint.com sponsored by Adobe]
more info in some days… need to talk to sitepoint again…
Image by PhOtOnQuAnTiQuE via FlickrCulture!? Linked Data?! Ok, why not! Detailed information will be soon available on http://linked-culture.net.
Linked Culture will provide Linked Data sets from user generated content found on websites like last.fm, tupalo.com, shnitzl.org, qype.com and a lot of alikes. Also editorial content from publishing companies — for example like SIMsKultur Online — and other providers of ebSemantics RDF data.
It’s like what DBpedia is for Wikipedia.
Linked Culture data will include at the beginning content from 50+ websites related to Venues, Events, Reviews, Locations, Ratings, Music, Movies in English and German.
All data will include Linked Data to DBpedia, Freebase, GeoNames, WorldFactBook, WordNet, Musicbrainz and others — owl:sameAs.
Like with Zemanta it is a breeze to enrich the content of your blog posts not only semantically and like OpenCalais want to make all the world’s content more accessible, interoperable and valuable we aim to provide the most comprehensive Linked Data set for Venues/Locations, Events/Menues and Reviews/Ratings worldwide.
An example:
Susi Sorglos, a girl in Vienna, 27 years old. She’s from Berlin. Now studying some nice stuff in the beautiful blue Danube city in Austria.
She wants to meet some friends from University. They don’t know where to go. No problem. Ask the net. As a local in Berlin it was easy to find insider information about the city, now as a stranger in a new place it’s harder to know about what’s going on.
From friends they have a recommendation for the “Arena Wien”. What’s next? What’s going on there? What do our friends know about this venue? What are the friends of our friends thinking about the events there? How to get there by public transport?
A lot of questions.
Ok, how can Linked Culture help?
Here we go:
There is information about Arena Wien available on a lot of websites. Which one to consult? Ask Google? Ask Yahoo!? Ask Lycos? Ask A9? Ask ask.com?!?
You know you want to go to Arena Wien in Vienna. Google told you: arena.co.at
So. Let’s go. But wait: Results 1 - 10 from about 372.000 for arena wien. sh*t.
Would be nice to find all *relevant* information in one place — or use SPARQL to explore ;)
With Linked Culture you will find relevant information/reviews/events for Arena Wien, the event location in Vienna, Austria. For example Linked Data from these sites:
Susi Sorglos also likes going to the cinema. She loves Twitter, too.
Wouldn’t it be nice to find new friends on Twitter? From the same region. Who likes the same movies or suggestes new ones?
How to achieve this? We are going to extract Linked Data from Twitter and match it with the Linked Culture cloud. First proof of concepts are available with Benjamin Nowack’s #smesher.
The Linked Data information about current playing movies (= events) and the cinemas (= venues) is provided from Google Movie and Yahoo! Trailer database.
Afterwards they could go to a nice Restaurant. You know. They found it on tupalo.com ;)
Happy semantic end for Susi Sorglos & her friends.
Available countries at the beginning
Upcoming Linked Culture events
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Image via WikipediaSo. What is Semantic Web aka. Web 3.0 aka. Linked Data? Why for people? It’s for machines. Stupid. Web 2.0 is for them ;)
Sometimes something starts with/on twitter. Please. Do not click ;)
Are there use cases of Semantic Web? Which people use? Not only “geeks”.
AustriaPro has developed an ontology called ebSemantics for the description of events and venues and other parts of the tourism sector.
Some days ago at the SIMsKultur Online project the OpenEvent RDF export was implemented for all events. By the way, you can also log-in with your Facebook account without extra registration.
Ok. Now we have an OpenEvent RDF file of the event “Diana Thater - gorillagorillagorilla” at “Kunsthaus Graz am Landesmuseum Joanneum“. This information is on http://simskultur.net.
Then we have there for example tupalo.com. They have reviews about “Kunsthaus Graz“. They want to provide more information for their users. They are going to implement the OpenEvent RDF data from @simskultur.
SIMsKultur Online is happy about the traffic from Tupalo when people are looking for more details about the event programm. It would also be nice to show the reviews from @tupalo on the SIMsKultur website and link back.
Now. How to match that data? Use the name of the venue? Nope. Not really the same. But could match. Use the address of the venue. Would also be possible that it could match in 90 - 95 %.
Linked Data to the rescue. SIMsKultur Online will be linking in the RDF file of the venue/event to Wikipedia and DBpedia or Freebase — owl:sameAs
If sites like tupalo.com or essenfinden.at are using ebSemantics and “owl:sameAs” it’s no problem to identify and import/update data accross the systems.
Nice. Visitors on tupalo.com and simskultur.net get data in very good quality.
“better.del.icio.us” is a prototype for searching del.icio.us and analyzing the websites with zemanta to get related articles, images and extract links to special topics on wikipedia and other websites.
you can also compare the auto generated tags with the human tags from del.icio.us users.
do you have any feedback? drop a line on twitter via mail or leave a comment.
