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Hacking with Seman/c Web
Deepak Shevani Developer @ Yahoo!
What’s in here?
• Evolu/on of the web • Poorly Solved Informa/on Needs • Seman/c Web Technologies • Linked Data • GeIng Structured Informa/on from Web.
Few Content Creators! Majority Consumers! WEB 1.0
hKp://www.flickr.com/photos/leandrociuffo/3665883373/
WEB 2.0
Web as a pla7orm hKp://www.flickr.com/photos/lambertwm/4737580179/
Ofoto Flickr
Personal Website Blogging
Britannica Online Wikipedia
Directories(taxonomy) Tagging(“folksonomy”)
Content Management Systems
Wikis
WEB 1.0 vs WEB 2.0
WEB 3.0
hKp://www.flickr.com/photos/markhillary/337685031
Which direc/on will it take?
Seman/c Web
Pervasive Web
Ar/ficial Intelligence Personaliza/on
Virtual Web WEB 3.0
Could be anything!
Tim Berners Lee – Inventor of the WWW
Web was designed as an informaCon space, for humans as well as machines. The informaCon on web must be explicit for machines, so that they take part in reasoning and solving human problems -‐ TBL
A Web of Documents rather than Data!
Today’s Web
Poorly Solved Informa/on Needs
• Multiple interpretations – Apple
• Long tail queries – Roja (I meant a south indian actress)
• Imprecise or overly precise searches – Brad Pitt – pictures of strong adventures people
• Searches for descriptions – countries in Africa – 25 year old computer engineer living in Bangalore – Reliable smart phone under 15,000 rupees
THE SOLUTION
Seman/c Web
Publish data on the Web
• Linked Data: linking data similar to how we link documents on the Web
• Query databases over the Web
Architectural Challenges
• A common format for sharing data • Sharing the meaning of data • Infrastructure
Current Researches & Other Efforts
• Seman/c Web research into knowledge representa/on and reasoning, data integra/on, data quality and many other topics
• Community effort (Linked Data movement)
Linked Data cloud: interlinked RDF datasets on the Web
hKp://linkeddata.org/
DBPedia
• Dbpedia is dataset that contains much of the structured data in Wikipedia – Data from the info-‐boxes – Links between Wikipedia pages – Categories – Disambigua/on and redirect pages
• Links to other datasets
Fetching individual resources
• Use your web browser • hKp://dbpedia.org/resource/Yahoo redirects to
hKp://dbpedia.org/page/Yahoo • You can plug in this URI into other Linked Data browsers
• HTTP GET to fetch data – Using curl: add Accept: applicaCon/rdf+xml for RDF and enable redirect
• curl -‐L -‐H 'Accept:applica/on/rdf+xml' 'hKp://dbpedia.org/resource/Berlin’
• Data dumps – hKp://wiki.dbpedia.org/Datasets
References
• hKp://www.slideshare.net/tompraison • hKp://inkdroid.org/journal/2010/06/04/the-‐5-‐stars-‐of-‐open-‐linked-‐data/
• hKp://www.freebase.com/ • hKp://dbpedia.org/About
Thank you J
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