Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Semantics Web:how you can make up your own truth
Who Am I?
Talk Subject
Semantic Webvs. semantic web
Semantic Web  Linked Data            Semantic Tech                TripleNLP                                 ML            ...
Semantics
I Love Pizza     =  I Pizza
Semantic Data
RDF
Triple
Subject   Predicate   Object                       Pam          SpouseCarmen           Child                      Griffin
Subject/Predicate/Object           =  Row/Column/Value
RDF/XML
N3
NTriples
Triplestores
NoSQL
Key-Value      BigTableDocument Store   Graph
Key-Value      BigTableDocument Store   Graph
D2R Server
Differences vs.   RDBMS
1. Subject = URI
AnyoneAnythingAnything
2. Inference
Subject   Predicate    Object                         Pam          SpouseCarmen                Child           Child      ...
Ontologies
An ontology is a specification of aconceptualization.
Relationships
A Simple Animal Ontology Body Part                          Living Thing                           eats!               has...
RDFS
Properties:Label,SubClass, Range
OWL
Relationships:    sameAs,differentFrom
3. Linked Data
May 2008
March 2009?
August 2010?
LinkedVocabularies
Friend of aFriend (FOAF)
Dublin Core (title, date, subject)
Simple  Knowledge OrganizationSystem (SKOS)
SemanticallyInterlinked Online   Communities      (SIOC)
4. Network   Effect
Using RDF
SPARQL
Creation of New      Data
5. Embedded Publishing
RDFa, eRDF &Microformats
LinkedIn:
So?
Linked Data +   EmbeddedSemantic Data =
Schema.org
Google, MS,  Yahoo
Google Rich Snippets
Study: Best Buy
GoodRelations  Ontology
How AboutPublishers?
Triplify
Publishing Plugin
Drupal
RDFa
By Default
And?
Facebook
OpenGraph
Big Data
MetadataDiscovery
Example:Hadoop
Kasabi
Conclusion
Questions?
gcaprio@1530technologies.com   www.twitter.com/gcaprio
Semantic web
Semantic web
Semantic web
Semantic web
Semantic web
Semantic web
Semantic web
Semantic web
Semantic web
Semantic web
Semantic web
Semantic web
Semantic web
Semantic web
Semantic web
Semantic web
Upcoming SlideShare
Loading in …5
×

Semantic web

753 views

Published on

Semantic Web & Linked Data presentational overview

Published in: Technology, Education
  • Be the first to comment

  • Be the first to like this

Semantic web

  1. 1. Semantics Web:how you can make up your own truth
  2. 2. Who Am I?
  3. 3. Talk Subject
  4. 4. Semantic Webvs. semantic web
  5. 5. Semantic Web Linked Data Semantic Tech TripleNLP ML Stores
  6. 6. Semantics
  7. 7. I Love Pizza = I Pizza
  8. 8. Semantic Data
  9. 9. RDF
  10. 10. Triple
  11. 11. Subject Predicate Object Pam SpouseCarmen Child Griffin
  12. 12. Subject/Predicate/Object = Row/Column/Value
  13. 13. RDF/XML
  14. 14. N3
  15. 15. NTriples
  16. 16. Triplestores
  17. 17. NoSQL
  18. 18. Key-Value BigTableDocument Store Graph
  19. 19. Key-Value BigTableDocument Store Graph
  20. 20. D2R Server
  21. 21. Differences vs. RDBMS
  22. 22. 1. Subject = URI
  23. 23. AnyoneAnythingAnything
  24. 24. 2. Inference
  25. 25. Subject Predicate Object Pam SpouseCarmen Child Child Griffin
  26. 26. Ontologies
  27. 27. An ontology is a specification of aconceptualization.
  28. 28. Relationships
  29. 29. A Simple Animal Ontology Body Part Living Thing eats! has part! PlantArm Animal eats! Leg eats! Grass Herbivore Person Tree Carnivore Cow
  30. 30. RDFS
  31. 31. Properties:Label,SubClass, Range
  32. 32. OWL
  33. 33. Relationships: sameAs,differentFrom
  34. 34. 3. Linked Data
  35. 35. May 2008
  36. 36. March 2009?
  37. 37. August 2010?
  38. 38. LinkedVocabularies
  39. 39. Friend of aFriend (FOAF)
  40. 40. Dublin Core (title, date, subject)
  41. 41. Simple Knowledge OrganizationSystem (SKOS)
  42. 42. SemanticallyInterlinked Online Communities (SIOC)
  43. 43. 4. Network Effect
  44. 44. Using RDF
  45. 45. SPARQL
  46. 46. Creation of New Data
  47. 47. 5. Embedded Publishing
  48. 48. RDFa, eRDF &Microformats
  49. 49. LinkedIn:
  50. 50. So?
  51. 51. Linked Data + EmbeddedSemantic Data =
  52. 52. Schema.org
  53. 53. Google, MS, Yahoo
  54. 54. Google Rich Snippets
  55. 55. Study: Best Buy
  56. 56. GoodRelations Ontology
  57. 57. How AboutPublishers?
  58. 58. Triplify
  59. 59. Publishing Plugin
  60. 60. Drupal
  61. 61. RDFa
  62. 62. By Default
  63. 63. And?
  64. 64. Facebook
  65. 65. OpenGraph
  66. 66. Big Data
  67. 67. MetadataDiscovery
  68. 68. Example:Hadoop
  69. 69. Kasabi
  70. 70. Conclusion
  71. 71. Questions?
  72. 72. gcaprio@1530technologies.com www.twitter.com/gcaprio

×