Taking Advantage of Semantic Web

1,855 views
1,585 views

Published on

Published in: Education
0 Comments
3 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
1,855
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
58
Comments
0
Likes
3
Embeds 0
No embeds

No notes for slide

Taking Advantage of Semantic Web

  1. 1. TAKING ADVANTAGEOFSEMANTIC WEBSankaranand Balaradjouwww.sankaranand.com
  2. 2. WEB 1.0 (1996) Read only information Encyclopaedia HTML Forms, Pages and Links Directories Just Interlinking of Webpages
  3. 3. WEB 2.0 (2006) Community Blogs Tagging Web Application Wikipedia Sharing RSS and XML
  4. 4. WEB 3.0 (???) Personalisation The Semantic Web Artificial Intelligence Mobility (Data Portability)
  5. 5. DATA, INFORMATION AND CONTENT Data is raw. It is numbers and patterns that have no interpretation Processed Data is Information Content is digestible form of Information
  6. 6. WHAT IS SEMANTIC WEB ? Group of methods and technologies The Semantic Web = a Web with a meaning searching, aggregating and combining of the Webs information Access Meaningful and accurate information Data are interlinked
  7. 7. BUILDING THE RELATIONSHIP Siva Kumar is Surya’s Father Automated and Manual Relationship
  8. 8. IDENTITY
  9. 9. DEFINITIONApple
  10. 10. ADVANTAGES OF MACHINES They process long and complex computing Comparing and indexing large data Searching millions of data
  11. 11. ADVANTAGES OF HUMANS We know the meaning Relations Logical Intelligence
  12. 12. MAKING THE EXISTING DATA MEANINGFUL Rules or Ontologies Semantic Programming Techniques Data and Metadata Together
  13. 13. LINKED DATA
  14. 14. EXAMPLE Facebook Graph Google Knowledge Graph
  15. 15. WHY IT IS IMPORTANT TO BE SEMANTIC ? Everyone is smarter now (Google Search ) The more we know about, the more is the visibility and accuracy Personalisation
  16. 16. THE SOLUTIONS ?Top DownBottom Up
  17. 17. TOP DOWNAnalysis the informationProcess Natural Language
  18. 18. BOTTOM UPEmbed Core Notations in Information
  19. 19. THE TOOLS RDF (Resource Description Framework) – Meta Data RSS (Rich Site Summary ) – Web Feed URI (Uniform Resource Identifiers ) XML (Extensible Markup Language) OWL (Web Ontology Language)
  20. 20. RDF EXAMPLE<?xml version="1.0"?><rdf:RDFxmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"xmlns:cd="http://www.recshop.fake/cd#"><rdf:Descriptionrdf:about="http://raga.com"> <cd:artist>Rahman</cd:artist> <cd:country>India</cd:country> <cd:company>Sony</cd:company> <cd:price>250</cd:price> <cd:year>2013</cd:year></rdf:Description></rdf:RDF>
  21. 21. SPARQL Semantic SQL Language Uses WDSL (Web Services Description Language )
  22. 22. MICROFORMATSIcalVcardCSV fileAtomHresumes
  23. 23. THE CHALLENGESAn Open Standard of OntologyOrStandard Microformat
  24. 24. NO SELFISHNESS Wikipedia and Success Teach Machine everything and let it do the work for you
  25. 25. GOOGLE KNOWLEDGE SEARCHCategorise DocumentMeaningful tagsRelated DocumentRecognize known Entities
  26. 26. BOOK MY SHOW – FRIEND SEATING
  27. 27. THE SEMANTIC INFORMATION
  28. 28. FRIENDS REVIEWS
  29. 29. SEMANTIC SERVICE-ORIENTED ARCHITECTUREScalable Enterprise ApplicationWatch the video
  30. 30. BUILD MEANINGFUL APPLICATIONSTight Integration with Other Service Platforms and APISUnified Information and SharingPortabilityNo Lack of ContentEasy AdoptionReusability of Data
  31. 31. BUILD YOUR OWN SEMANTIC APPStorage Layer - StorageManipulation Layer - ProcessingRepresentation Layer - ViewChoose the Right Tools
  32. 32. THANK YOUTwitter -> @sankaranand

×