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web 3.0 part1

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a case study on web 3.0

a case study on web 3.0

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  • 1. Web 3.0 Haris 21-Nov-08 1
  • 2. 21-Nov-08 2
  • 3. Uniform Resource Locator 21-Nov-08 3
  • 4. REST 21-Nov-08 4
  • 5. 21-Nov-08 5
  • 6. Web 2.0 - Democracy Read n Write Web Users are in Control Rise of the Prosumers Wikis 21-Nov-08 6
  • 7. Web 2.0 - Ubiquity Its everywhere Self - Organized Mobile 1.0 Real Time 21-Nov-08 7
  • 8. Web 2.0 - Applications VOIP Office Maps 21-Nov-08 8
  • 9. Web 2.0 - Usability Mashups Personilized Home Pages RIA 21-Nov-08 9
  • 10. Web 2.0 Technology UI Tag Clouds Syndication 21-Nov-08 10
  • 11. 21-Nov-08 11
  • 12. 21-Nov-08 12
  • 13. 21-Nov-08 13
  • 14. 21-Nov-08 14
  • 15. Web 3.0 “An extension of the current Web in which information is given well-defined meaning, better enabling computers and people to work in co-operation” 21-Nov-08 15
  • 16. Stack 21-Nov-08 16
  • 17. Metadata Data about data Manage data Used for record keeping Identify documents ,files – Search 21-Nov-08 17
  • 18. Tagging Different granularity of tagging Multilingualism Spelling errors, terminology Ineffective tagged resources 21-Nov-08 18
  • 19. MicroFormats ... a way to create information that is both human and machine readable 21-Nov-08 19
  • 20. Why microformats ?  easy to share and reuse data  populate address books  browse social relationships  share reviews  tag content  semantic labels 21-Nov-08 20
  • 21. 21-Nov-08 21
  • 22. 21-Nov-08 22
  • 23. People exist in space and time Geo adr hcard hCalendar 21-Nov-08 23
  • 24. Artificial Intelligence computer can never be programmed to answer all mathematical questions. 21-Nov-08 24
  • 25. 21-Nov-08 25
  • 26. U know ?  language  a set of discrete symbols.  syntax  the rules for the construction of a statement  semantics  relationship between symbols  ontology relationships between terms of knowledge 21-Nov-08 26
  • 27. Relational Database Most Common Data as rows/tuples EMP_ID NAME HIRE_DATE SALARY 13954 Joe 2000-04-14 48000 10335 Mary 1998-11-23 52000 … … … … 04182 Bob 2005-02-10 21750 SELECT SALARY, HIRE_DATE FROM EMPS WHERE EMP_ID = 13954 21-Nov-08 27
  • 28. Resource Description Framework 21-Nov-08 28
  • 29. RDF  Flexible and extensible way to represent information  RDF can indicate membership  RDF is a graph data model  Triple : Subject Predicate Object  The sky (subject ) has the color (predicate) blue (object) 21-Nov-08 29
  • 30. Data Model  emps:e13954 HR:name 'Joe'  emps:e13954 HR:hire-date 2000-04-14  emps:e13954 HR:salary 48000 Subject Predicate Object emps:e13954 HR:name 'Joe' emps:e13954 HR:hire-date 2000-04-14 emps:e13954 HR:salary 48000 21-Nov-08 30
  • 31. Relationships HR:emp rdf:type rdf:type HR:supervises emps:e10335 emps:e13954 HR:worksIn HR:dept HR:manages dept:sales rdf:type 21-Nov-08 31
  • 32. SPARQL  Simple Protocol and RDF Query Language  SPARQL SELECT ?id, ?sal WHERE { ?id HR:salary ?sal }  SQL SELECT emp_id, salary FROM employees • extract information in the form of URIs, blank nodes, plain and typed literals. • extract RDF subgraphs. • construct new RDF graphs based on information in the queried graphs 21-Nov-08 32
  • 33. Friend of a Friend(FOAF)  Person  Social Networks/Relations  Groups  Identify person across sites 21-Nov-08 33
  • 34. RDF semantics <rdf:RDF xmlns:rdf=quot;http://www.w3.org/1999/02/22-rdf-syntax-ns#quot; xmlns:foaf=quot;http://xmlns.com/foaf/0.1/quot;> <foaf:Person> <foaf:name>Haris</foaf:name> <foaf:mbox rdf:resource=quot;mailto:haris.al@teamta.inquot; /> <foaf:knows> <foaf:Person> <foaf:name>Manesh</foaf:name> </foaf:Person> </foaf:Person> </rdf:RDF> SELECT ?name ?mbox WHERE { ?x foaf:name ?name . ?x foaf:mbox ?mbox } 21-Nov-08 34
  • 35. 21-Nov-08 35
  • 36. Simple Knowledge Organisation System  Tool for publishing descriptions of concepts,  Simple knowledge structures  Collected Vocabulary  Repository of synonyms  Taxonomical data  Wordnet 21-Nov-08 36
  • 37. 21-Nov-08 37
  • 38. 21-Nov-08 38
  • 39. 21-Nov-08 39
  • 40. Architectures 21-Nov-08 40
  • 41. Mobility Android IPhone 21-Nov-08 41
  • 42. Services Every new service can be built on existing service Addition of services and the data makes web more powerful Result ? Innovation->Competition->Specialization 21-Nov-08 42
  • 43. 21-Nov-08 43
  • 44. Business Model Content + Commerce + Community + Communication + Context + Personalization + Vertical Search 21-Nov-08 44
  • 45. www.radarnetworks.com  TWINE - a semantic 'personal data organizer‘  Email as data  Youtube , Flickr  manual and automatic 'tagging'  knowledge network 21-Nov-08 45
  • 46. NATIONAL INFRASTRUCTURE SIMULATION AND ANALYSIS CENTER  Enter a keyword in search box  Expand the word into its synonyms  Use SPARQL to expand keyword into all synonyms RDF-SKOS  Create a request for the most important synonyms  Create SQL statement for highest priority synonyms  Retrieve documents containing these synonyms  Pass SQL statement to Oracle to retrieve documents More info-http://www.sandia.gov/nisac/docs/SchimanskiSemTech2007.ppt 21-Nov-08 46
  • 47. omni-functional product http://home.zcubes.com/ Integrate as many web services No need to know the implementation details Creative ZCubes showcase ZLife 21-Nov-08 47
  • 48. Metaweb Technologies  extract ordered knowledge  Free + Database = Freebase.com  collaboratively-edited database 21-Nov-08 48
  • 49. Joost  online global TV distribution  customizable peer-to-peer TV software  RDF's Semantic Web linkages  program their own virtual TV networks http://www.joost.com/ 21-Nov-08 49
  • 50. THANK YOU 21-Nov-08 50
  • 51. 21-Nov-08 51

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