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Introduction to Linked Data - WWW2010
The document discusses the challenges of consuming linked data on the web, emphasizing the need for machines to understand and link data more efficiently. It introduces the Resource Description Framework (RDF) as a standardized way to model and publish data, which can be linked across various sources using URIs. The document also highlights the importance of linked data principles and mentions existing linked data publishers, encouraging wider adoption of linked data practices.
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Introduction to Linked Data - WWW2010
- 1. Introduc)on to Linked Data Consuming Linked Data Tutorial World Wide Web Conference 2010
- 2. Do you SEARCH or do you FIND?
- 3. Search for Football Players who went to the University of Texas at Aus)n, played for the Dallas Cowboys as Cornerback
- 7. Why can’t we just FIND it…
- 10. Guess how I FOUND out?
- 11. I’ll tell you how I did NOT find it
- 12. Current Web = internet + links + docs
- 13. So what is the problem? • The Web has problems – People aren’t interested in documents • They are interested in things (that are in documents) – People can parse documents and extract meaning • Web pages are wriXen in HTML • HTML describes visualiza)on of informa)on • Computers can’t!
- 14. What do we need to do? • We need to help machines to understand the web so machines can help us understand things – They can learn what we are interested in – They can help us beXer find what we want
- 15. How can we do that? • Besides publishing documents on the web – which computers can’t understand easily • Let’s publish something that computers can understand
- 16.
- 17. But wait… don’t we do that already?
- 18. Current Data on the Web • Rela)onal Databases • APIs • XML • CSV • XLS • … • Can’t computers and applica)ons already consume that data on the web?
- 19. True! But it is all in different formats and data models!
- 20. This makes it hard to integrate data
- 21. The data in different data sources aren’t linked
- 22. For example, how do I know that the Juan Sequeda in Facebook is the same as Juan Sequeda in TwiXer
- 23. Or if I create a mashup from different services, I have to learn different APIs and I get different formats of data back
- 24. Wouldn’t it be great if we had a standard way of publishing data on the Web?
- 25. We have a standardized way of publishing documents on the web, right? HTML
- 26. Then why can’t we have a standard way of publishing data on the Web?
- 27. Good ques)on! And the answer is YES. There is!
- 28. Resource Descrip)on Framework (RDF) • A data model – A way to model data – i.e. Rela)onal databases use rela)onal data model • RDF is a triple data model • Labeled Graph • Subject, Predicate, Object • <Juan> <was born in> <California> • <California> <is part of> <the USA> • <Juan> <likes> <the Seman)c Web>
- 29. RDF can be serialized in different ways • RDF/XML • RDFa (RDF in HTML) • N3 • Turtle • JSON
- 30. So does that mean that I have to publish my data in RDF now?
- 31. You don’t have to… but we would like you to
- 32.
- 33. Document on the Web
- 34. Databases back up documents THINGS have PROPERTIES: A Book as a Title, an author, … Isbn Title Author PublisherID ReleasedData 978-‐0-‐596-‐153 Programming Toby Segaran 1 July 209 81-‐6 the Seman.c Web … … … … … PublisherID PublisherName This is a THING: A book )tle “Programming the 1 O’Reilly Media Seman)c Web” by Toby Segaran, … … …
- 35. Lets represent the data in RDF Programming the )tle Seman)c Web author book Toby Segaran isbn 978-‐0-‐596-‐15381-‐6 publisher name Publisher O’Reilly
- 36. Remember that we are on the web Everything on the web is iden)fied by a URI
- 37. And now let’s link the data to other data Programming the )tle Seman)c Web hXp://…/ author Toby Segaran isbn978 isbn 978-‐0-‐596-‐15381-‐6 publisher hXp://…/ name publisher1 O’Reilly
- 38. And now consider the data from Revyu.com hXp://…/ hasReview hXp://…/ review1 isbn978 descrip)on reviewer Awesome Book hXp://…/ name reviewer Juan Sequeda
- 39. Let’s start to link data hXp://…/ hasReview hXp://…/ review1 isbn978 Programming the descrip)on )tle Seman)c Web hasReviewer sameAs Awesome author hXp://…/ Book Toby Segaran isbn978 hXp://…/ name reviewer isbn 978-‐0-‐596-‐15381-‐6 Juan publisher Sequeda hXp://…/ name publisher1 O’Reilly
- 40. Juan Sequeda publishes data too hXp:// livesIn hXp://dbpedia.org/Aus)n juansequeda. com/id name Juan Sequeda
- 41. Let’s link more data hXp://…/ hasReview hXp://…/ review1 isbn978 descrip)on hasReviewer Awesome Book hXp://…/ name reviewer sameAs Juan Sequeda hXp:// livesIn hXp://dbpedia.org/Aus)n juansequeda. com/id name Juan Sequeda
- 42. And more hXp://…/ hasReview hXp://…/ review1 isbn978 Programming the descrip)on )tle Seman)c Web hasReviewer sameAs Awesome author hXp://…/ Book Toby Segaran isbn978 hXp://…/ name reviewer isbn 978-‐0-‐596-‐15381-‐6 sameAs Juan publisher hXp://…/ Sequeda name publisher1 O’Reilly hXp:// livesIn hXp://dbpedia.org/Aus)n juansequeda. com/id name Juan Sequeda
- 43. Data on the Web that is in RDF and is linked to other RDF data is LINKED DATA
- 44. Linked Data Principles 1. Use URIs as names for things 2. Use HTTP URIs so that people can look up (dereference) those names. 3. When someone looks up a URI, provide useful informa)on. 4. Include links to other URIs so that they can discover more things.
- 45. Linked Data makes the web appear as ONE GIANT HUGE GLOBAL DATABASE!
- 46. I can query a database with SQL. Is there a way to query Linked Data with a query language?
- 47. Yes! There is actually a standardize language for that SPARQL
- 48. FIND all the reviews on the book “Programming the Seman)c Web” by people who live in Aus)n
- 49. hXp://…/ hasReview hXp://…/ review1 isbn978 Programming the descrip)on )tle Seman)c Web hasReviewer sameAs Awesome author hXp://…/ Book Toby Segaran isbn978 hXp://…/ name reviewer isbn 978-‐0-‐596-‐15381-‐6 sameAs Juan publisher Sequeda hXp://…/ name publisher1 O’Reilly hXp:// juansequeda. livesIn hXp://dbpedia.org/Aus)n com name Juan Sequeda
- 50. This looks cool, but let’s be realis)c. What is the incen)ve to publish Linked Data?
- 51. What was your incen)ve to publish an HTML page in 1990?
- 52. 1) Share data in documents 2) Because you neighbor was doing it
- 53. So why should we publish Linked Data in 2010?
- 54. 1) Share data as data 2) Because you neighbor is doing it
- 55. And guess who is star)ng to publish Linked Data now?
- 56. Linked Data Publishers • UK Government • US Government • BBC • Open Calais – Thomson Reuters • Freebase • NY Times • Best Buy • CNET • Dbpedia • Are you?
- 58. How can I publish Linked Data?
- 59. Publishing Linked Data • Legacy Data in Rela)onal Databases – D2R Server – Virtuoso – Triplify – Ultrawrap • CMS – Drupal 7 • Na)ve RDF Stores – Databases for RDF (Triple Stores) • AllegroGraph, Jena, Sesame, Virtuoso – Talis Plauorm (Linked Data in the Cloud) • In HTML with RDFa
- 60.