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Web 3.0
the next step
Web 3.0
u kunt
een rol
spelen!
Wie ben ik?
Geschiedenis
Semantic Web
Linked Data
Toepassingen
Vragen
UNIVERSITEIT
TWENTE.
Web 3.0
Torens
Torens
Torens
Torens
mm...., music??
towers with height
  above 200m?
Wind turbines
You’re are standing 200
meters away from the
Eiffel tower
niet zo’n slim
 antwoord!
structuur
beste manier is
     een database
verschillende databases
  aan elkaar koppelen
Semantic Web
syntax en semantiek
syntax
studie van grammatica
semantics
studie van betekenis
syntax
de manier waarop
  je iets vertelt
semantiek
geeft de betekenis
weer wat je vertelt
verschillende syntax

 zelfde semantiek
ik ben aan het lopen

ik ben aan het wandelen
Web 1.0
delen van
foto’s en video
deel te nemen aan
sociale netwerken
publiseren van
content in blog
Web 2.0
Het probleem
   HTML
HTML beschrijft syntax,
  niet de semantiek
huidige web
documenten
semantic web
  concepten
Henk Jurriens
Henk Jurriens

                hasHomepage



                http://www.ihenk.com
Henk Jurriens

                           hasHomepage

    hasEmail
                           http://www.ihenk.com


henk.jurriens@profict.nl
Web 3.0 : The Next
               presenterOf           Step




           Henk Jurriens

                             hasHomepage

    hasEmail
                             http://www.ihenk.com


henk.jurriens@profict.nl
Web 3.0 : The Next
               presenterOf           Step
                                                       partOf


                                                    Apeldoorn IT
                                                      Congres

           Henk Jurriens

                             hasHomepage

    hasEmail
                             http://www.ihenk.com


henk.jurriens@profict.nl
Web 3.0 : The Next
               presenterOf           Step
                                                       partOf


                                                    Apeldoorn IT
                                                      Congres

           Henk Jurriens                                           hasAdress

                             hasHomepage
                                                                adres

    hasEmail
                             http://www.ihenk.com


henk.jurriens@profict.nl
het kan
   mensen,
   plaatsen,
evenementen,
  bedrijven,
produkten..etc
  herkennen
het kan relaties tussen
 concepten begrijpen
Web 3.0
Linked Data
Tim Berners-Lee
Linked Data
 principles
Use URIs to indentify concepts
8-10-2007
28-2-2008
14-7-2009
22-09-2010
Technology stack
   RDFa         SPARQL



          RDF


   URI          HTTP
RDF
tower
“Eiffeltower”
        label




tower
“Eiffeltower”
        label


                img
                                  ...g/34078921/eiffeltower.jpg



tower
“Eiffeltower”
        label


                img
                                   ...g/34078921/eiffeltower.jpg


                      height
tower
                                               300
“Eiffeltower”
        label


                         img
                                            ...g/34078921/eiffeltower.jpg


                               height
tower
                                                        300

            designedBy


        Mr Eiffel
“Eiffeltower”
        label


                         img
                                              ...g/34078921/eiffeltower.jpg


                                height
tower
                                                          300

            designedBy
                               name

        Mr Eiffel                                    Eiffel
<http://purl.org/dc/elements/1.1/title>
http://en.wikipedia.org/wiki/
        Eiffel_Tower


                                                                “Eiffel Tower”
Dublin Core
Dublin Core
FOAF
Dublin Core
FOAF
Geo
Dublin Core
FOAF
Geo
GoodRelations
<http://en.wikipedia.org/wiki/Eiffel_Tower>
       <http://purl.org/dc/elements/1.1/title>
               "Eiffeltower" .
Rich Snippets
RDFa
SPARQL
SPARQL endpoints
Result of SPARQL queries

• XML
• JSON
• RDF (RDF/XML, N3)
PREFIX dc: <http://purl.org/
dc/elements/1.1/>.

SELECT ?title ?height
WHERE {
     ?tower dc:title ?title,
     ?tower dc:height ?title.
}
Toepassingen
DATA.gov
http://www.data.gov/semantic/Castnet/html/exhibit
/orpheus
/orpheus
/orpheus
/orpheus
/orpheus
parcel 100 m2
parcel 100 m2
    WOZ
EURO 300.000
Text
EURO
   50.000



Text
EURO
   50.000
            EURO
            45.000
Text
EURO
   50.000
               EURO
               45.000
Text
            EURO
            60.000
EURO
   50.000
                    EURO
                    45.000
Text
                 EURO
            EURO 60.000
            80.000
http://www.ihenk.com




            @henkjurriens


henk.jurriens@profict.nl
http://www.ihenk.com




            @henkjurriens


henk.jurriens@profict.nl
http://www.ihenk.com




            @henkjurriens


henk.jurriens@profict.nl

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Web 3.0 : The next step

Notes de l'éditeur

  1. \n
  2. Vandaag de dag zijn sociale websites zoals Twitter, Facebook, Hyves en LinkedIn enorm populair. Dit soort web applicaties vormen de basis van het Web 2.0. Web 2.0 wordt ook wel \ngeassocieerd met web applicaties die het het mogelijk maken om interactief informatie te delen, samenwerking via het World Wide Web. \n\n
  3. Vandaag de dag zijn sociale websites zoals Twitter, Facebook, Hyves en LinkedIn enorm populair. Dit soort web applicaties vormen de basis van het Web 2.0. Web 2.0 wordt ook wel \ngeassocieerd met web applicaties die het het mogelijk maken om interactief informatie te delen, samenwerking via het World Wide Web. \n\n
  4. Vandaag de dag zijn sociale websites zoals Twitter, Facebook, Hyves en LinkedIn enorm populair. Dit soort web applicaties vormen de basis van het Web 2.0. Web 2.0 wordt ook wel \ngeassocieerd met web applicaties die het het mogelijk maken om interactief informatie te delen, samenwerking via het World Wide Web. \n\n
  5. Vandaag de dag zijn sociale websites zoals Twitter, Facebook, Hyves en LinkedIn enorm populair. Dit soort web applicaties vormen de basis van het Web 2.0. Web 2.0 wordt ook wel \ngeassocieerd met web applicaties die het het mogelijk maken om interactief informatie te delen, samenwerking via het World Wide Web. \n\n
  6. Maar vanochted wil ik u de volgende stap in de evolutie van het World Wide Web tonen : Web 3.0. \n\nHet web 3.0 zal het zoeken naar informatie sneller en eenvoudiger maken. \n\nHet Web 3.0 wordt geassocieerd met verschillende termen : &amp;#xA0;Semantisch Web en Linked Data.\n\n
  7. Om het Web 3.0 tot een succes te maken we hebben uw hulp nodig! Zometeen kom ik hierop terug! Maar eerst zal ik aangeven hoe de ochtend er uit ziet\n\n
  8. \n
  9. Ik ben geboren en &amp;#xA0;opgroeid in Meppel en kwam al vroeg in aanraking met &amp;#xA0;computers.. een commodore VIC-20.\n\n
  10. En toen wist ik het al : ik wilde gaan studeren op de Universiteit van Twente. En na jaren van programmeren , kon &amp;#xA0;ik eindelijk Technische Informatica gaan studeren.\n \nNu jaren later heb ik de passie nog steeds niet verloren....eigenlijk vind ik programmeren nog steeds het leukst. Ik wil dicht bij de techniek blijven.. en ik ben steeds nieuwsgierig naar nieuwe ontwikkelingen en nieuwe uitdagingen. \n\n
  11. \n
  12. En daarom werk ik ook bij Profict! Bij Profict ben ik werkzaam als software ontwikkelaar. Profict heeft een aantal verschillende aansprekende klanten, zoals SIDN, Gemeente Amsterdam en de Postcode Loterij. Zelf werk ik in een Scrum team bij Postcode Loterij.\n\n
  13. \n
  14. \n
  15. Bij Profict zijn we ook steeds ook op zoek naar nieuwe trends en ontwikkelingen. En &amp;#xE9;&amp;#xE9;n van deze ontwikkelingen is Web 3.0!\n\n
  16. \n
  17. \n
  18. \n
  19. \n
  20. \n
  21. \n
  22. \n
  23. \n
  24. \n
  25. \n
  26. \n
  27. \n
  28. \n
  29. \n
  30. \n
  31. \n
  32. \n
  33. \n
  34. Rond 1995 werd internet steeds populairder.. Windows 95, langezame dailup verbindingen..\n\n
  35. \n
  36. \n
  37. Het web is een systeem van aan elkaar verbonden documenten toegankelijk via het internet\n\nvia hyperlinks kun je navigeren tussen deze pagina&apos;s\n\nGrootste bron van informatie ooit!\n\n
  38. \n
  39. \n
  40. \n
  41. \n
  42. \n
  43. \n
  44. \n
  45. \n
  46. \n
  47. Het probleem . Web pagina&apos;s geschreven in HTML\n\nHTML beschrijft de structuur van informatie\n\n
  48. HTML beschrifjt de syntax, niet de semantiek\nwanneer computers de betekenis achter deze informatie kunnen begrijpen..\n\nkunnen ze leren...waar we geinteresseerd in zijn.\nen kunnen ze ons beter helpen te vinden wat we willen...\nen hier gaat om bij het semantic web\n\n
  49. het huidige web gaat over documenten\n\nhet semantic web gaat over concepten\n\nhet kan mensen, plaatsen, eventementen, bedrijven, producten, films etc herkennen\n\nhet kan relaties tussen concepten begrijpen!\n\n
  50. \n
  51. \n
  52. \n
  53. \n
  54. \n
  55. \n
  56. \n
  57. \n
  58. \n
  59. The goal of Linked Data is to extend the Web with data by publishing various open datasets as\n RDF links between data items from different data sources \n
  60. In 1989 schreef Tim Berners-Lee een eerste voorstel voor een project dat zou leiden tot het World Wide Web.\n\nIn 2009 &amp;#xA0;gaf Tim Berners-Lee een presentatie over Linked Data op een conferentie van TED 2009 conference. \n\n
  61. In it, he restated the linked data principles as three &quot;extremely simple&quot; rules:\nAll kinds of conceptual things, they have names now that start with HTTP.\nI get important information back. I will get back some data in a standard format which is kind of useful data that somebody might like to know about that thing, about that event.\nI get back that information it&apos;s not just got somebody&apos;s height and weight and when they were born, it&apos;s got relationships. And when it has relationships, whenever it expresses a relationship then the other thing that it&apos;s related to is given one of those names that starts with HTTP.\n\n
  62. \n
  63. Circle size\nTriple count\nVery large &gt;1B\nLarge 1B-10M\nMedium 10M-500k\nSmall 500k-10k\nVery small &lt;10k\n\nLinked Data is growing very fast. Millions of triples\n
  64. \n
  65. \n
  66. \n
  67. The technology stack looks likes this.\n\nI&amp;#x2019;ll explain a few .\n\nGleaning Resource Descriptions from Dialects of Languages.\n\nRDFa (or Resource Description Framework &amp;#x2013; in &amp;#x2013; attributes)\n
  68. RDF - rdf staat Resource Description Framework\n\nEen standaard, oorspronkelijk ontworpen als een metadata model maar gaandeweg gebruikt als een formaat om gegevens in het algemeen voor te stellen en uit te wisselen.\n\nMet het RDF model kun je uitspraken doen over de kenmerken van bronnen op het web (resources) in de vorm van een drieledige subject-predicaat-object structuur (in RDF-termen een triple). \n\n\n\n
  69. a restaurant has a title ...\n\nand this is called a graph\n\n
  70. a restaurant has a title ...\n\nand this is called a graph\n\n
  71. a restaurant has a title ...\n\nand this is called a graph\n\n
  72. a restaurant has a title ...\n\nand this is called a graph\n\n
  73. a restaurant has a title ...\n\nand this is called a graph\n\n
  74. a restaurant has a title ...\n
  75. different standards for describing resources\n\nDublin Core is a standard for describing different kinds of resources\n\n
  76. different standards for describing resources\n\nDublin Core is a standard for describing different kinds of resources\n\n
  77. different standards for describing resources\n\nDublin Core is a standard for describing different kinds of resources\n\n
  78. different standards for describing resources\n\nDublin Core is a standard for describing different kinds of resources\n\n
  79. Turtle\nRDF/XML\n
  80. \n
  81. \n
  82. \n
  83. - Pull values from structured and semi-structured data\n- Explore data by quering\n
  84. \n
  85. \n
  86. returns all triples with a property dc:title\n
  87. \n
  88. \n
  89. \n
  90. \n
  91. \n
  92. \n
  93. \n
  94. \n
  95. \n
  96. \n
  97. \n
  98. \n
  99. \n
  100. \n
  101. \n
  102. \n
  103. \n
  104. \n
  105. \n
  106. \n
  107. \n
  108. \n
  109. \n
  110. Personal agents...\n* filteren van informatie\n* maken van afspraken\n* GoodRelations\n
  111. \n
  112. \n