a credits slide stating “These slides are partially based on “Semantic Web An Introduction” by Emanuele Della Valle http://applied-semantic-web.org/slides/2010/03/01_intro.ppt
To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/
Dal Web delle origini al Semantic Web
Introduzione al Semantic Web
Applicazioni del Semantic Web
Il Web delle origini 1988 (CERN)
Il Web delle origini (1990) [source: http://www.w3.org/DesignIssues/diagrams/history/proposal-fig1.gif ] [source: http://www.w3.org/DesignIssues/diagrams/history/Architecture_crop.png ]
The Web today Let’s browse together 2009 Map http://www.zoomorama.com/01-2477f0e8b447bb6570493cdac464c41f
Introduction Computer should understand more Large number of integrations - ad hoc - pair-wise Too much information to browse, need for searching and mashing up automatically Each site is “understandable” for us Computers don’t “understand” much ? Millions of Applications Search & Mash-up Engine 010 0 1 1 0 0 1101 10100 10 0010 01 101 101 01 110 1 10 1 10 0 1 1 0 1 0 1 0 0 1 1 0 1 1 1 10 0 1 101 0 1
Introduction What does “understand” mean?
What we say to Web agents
" For more information visit <a href=“http://www.ex.org”> my company </a> Web site. . .”
Jet this is enought to train them to achive tasks for us
[ source http://www.thefarside.com/ ]
Introduction What does Google “understand”?
[page1] links [page2] page2 is interesting
Google is able to rank results!
“ The heart of our software is PageRank™, a system for ranking web pages […] (that) relies on the uniquely democratic nature of the web by using its vast link structure as an indicator of an individual page's value .”
Introduction Two ways for computer to “understand”
Natural Langue processing (NLP)
Image Processing (IP)
… many many more
They all work fine alone, the problem is combining them
E.g., NLP meets IP
NLP: What does your eye see?
IP: I see a sea
NLP: You see a “c”?
IP: Yes, what else could it be?
Not the Semantic Web approach
Make data easier for machines to publish, share, find and understand
E.g. http://wordnet.rkbexplorer.com/description/word-sea vs. http://wordnet.rkbexplorer.com/description/word-c
The Semantic Web approach
Some NLP Related Entertainment http://www.cl.cam.ac.uk/Research/ NL/amusement.html
Introduction The Semantic Web 1/4
“ The Semantic Web is not a separate Web, but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation.”
“ The Semantic Web”, Scientific American Magazine, Maggio 2001 http://www.sciam.com/article.cfm?articleID=00048144-10D2-1C70-84A9809EC588EF21
an extension of the current Web
in which information is given well-defined meaning
better enabling computers and people to work in cooperation.
Both for computers and people
Introduction The Semantic Web 2/4
“ The Semantic Web is not a separate Web, but an extension of the current one […] ”
Web 1.0 The Web Today
Introduction The Semantic Web 3/4
“ The Semantic Web […] , in which information is given well-defined meaning […]”
Human understandable but “only” machine-readable Human and machine “ understandable ” ? Web 1.0 Semantic Web
Introduction The Semantic Web 4/4 Semantic Web Fewer Integration - standard - multi-lateral […] better enabling computers and people to work in cooperation. Even More Applications Easier to understand for people More “understandable” for computers Semantic Mash-ups & Search
For more than 150 years, The New York Times has meticulously indexed its archives. Through this process, we have developed an enormous collection of subject headings […].
Unfortunately, our list of subject headings is an island. For example, even though we can show you every article written about “Colbert, Stephen,” our databases can’t tell you that he was born on May 13, 1964, or that he lost the 2008 Grammy for best spoken word album to Al Gore . To do this we would need to map our subject headings onto other Web databases such as Freebase and DBPedia .
So that’s exactly what we did. Over the last several months we have manually mapped more than 5,000 person name subject headings onto Freebase and DBPedia. […]
So now you can visit http://data.nytimes.com/N66220017142656459133 and see that our “Colbert, Stephen” is equivalent to DBPedia’s http://dbpedia.org/resource/Stephen_Colbert and Freebase’s http://rdf.freebase.com/rdf/en.stephen_colbert . Even more importantly, your computer can visit http://data.nytimes.com/N66220017142656459133.rdf and get all of this information in a computer-readable (RDF) document.
October 29, 2009, 4:07 pm First 5,000 Tags Released to the Linked Data Cloud By EVAN SANDHAUS AND ROB LARSON
Introduction Browsing the LOD with http://sig.ma/ Try it! http://sig.ma/search?q=Propranolol
Introduction The new era of Semantic Apps
One of the highlights of October's Web 2.0 Summit in San Francisco was the emergence of 'Semantic Apps' as a force.
The purpose of this post is to highlight 10 Semantic Apps. […] It reflects the nascent status of this sector, even though people like Hillis and Spivack have been working on their apps for years now.
Read out more at http://www.readwriteweb.com/archives/10_semantic_apps_to_watch.php
Introduction Semantic Web “layer cake” Standardized Under Investigation Already Possible [ source http://www.w3.org/2007/03/layerCake.png ]
Introduction Architectural view of the lower layers [source http://www.w3.org/DesignIssues/diagrams/sw-double-bus.png ]
Introduction and RDF slides are partially based on “Fundamentals of the Semantic Web” by David Booth http://www.w3.org/2002/Talks/0813-semweb-dbooth/