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Identity and storage in Web 3.0

Identity and storage in Web 3.0. Web 1.0. 1993 - 2004. Tens of kb. Success stories. Amazon Ebay Yahoo. Web 1.0. High cost to entry and play Compared with before you could have relatively easy a national and an international presence Several publishers Few services

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Identity and storage in Web 3.0

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  1. Identity and storage in Web 3.0

  2. Web 1.0

  3. 1993 - 2004

  4. Tens of kb

  5. Success stories • Amazon • Ebay • Yahoo

  6. Web 1.0 • High cost to entry and play • Compared with before you could have relatively easy a national and an international presence • Several publishers • Few services • Limited customer feedback • Customers had to choose between services offered by others

  7. Web 1.0 Identity • Customers had to prove they are legitimate clients • Companies had to protect account's information • Identity would usually contain: • Username • Password • Address , billing and shipping • Credit Card

  8. Web 1.0 Identity

  9. Web 1.0 Data storage • Relational databases • Relation database design using entity relation diagrams • Oracle , Sql Server • Large databases • Transactions • The data stored was more text, especially data related with order processing

  10. Web 1.0 Technologies • Java and .Net • N Tier Architecture Web Browser,Web Server, Application Server, Database • J2EE, Servlets, Jsp

  11. Web 2.0

  12. 2004 - 2015?

  13. Mb bandwidth

  14. Web 2.0 • Low cost to have your own website hosted. • Many publishers • Major number of services • Multiple customer feedback • Customers can create content and be part of services • Customers can give great feedback • Chats, blogs, pictures, movies integrated into commercial web pages

  15. Success stories • Google • Popularity success stories • Wikipedia , emergency of the collective • Facebook • Youtube • My Space • World Net

  16. Emergency of collective products

  17. Web 2.0 Identity • In web 2.0 a lot of information identity is disclosed by people • Beside name, shipping address, billing address we have birth date, friends , friend of a friend , interests, pictures, movies and blogs • Identity in Web 2.0 is spread across many websites like Facebook, My Space, You Tube, Blogger • People need to be careful in building their web 2.0 identity since it can affect decisions like employment

  18. Identity

  19. Web 2.0 Data storage • The data storage is supported by the normal relational databases • We have virtual object databases by using persistence frameworks like Hybernate • Since we have movies and pictures we have big databases at around tens of terabytes • In web 2.0 we have bigger databases because of multimedia documents managed

  20. Web 2.0 Data storage • A new type of database is emerging, cloud based databases . Beside the relational databases, blogs, pictures and other items across Internet can be managed. http://www.itworld.com/saas/69183/watch-out-oracle-google-tests-cloud-based-database

  21. Web 2.0 technologies • Web services, Soap Rest • Rich client interfaces Java Script, Ajax , Json • Cloud computing • Mash ups • Software as a service

  22. Web 3.0

  23. 2016? - 2025?

  24. Tens of Mb of bandwidth • Bandwidth influences directly the user interface • Web 1.0 means text + pictures only interface • Web 2.0 means flash, video interface. It means Java Script, Ajax, Json interface, Scalable Vector Graphics. Mobile Web • Web 3.0 means new technologies will be developed to bring an even richer interface . 2D will move to 3D. Example car looking from inside. From 2D floor plan to 3D apartment visualization .

  25. Success stories • Amazon gives the people the possibility to find products of interest by displaying what other people bought after buying a similar product • Scientific Publishing task force - > group that tries to revolutionize scientific publishing • That means what you publish will be understood by computers

  26. Web 3.0 • Web is going to be open to machine processing • Machines can operate as agents. • Semantic web. Information is going to be organized as knowledge. Will this impact data storage? Are we going to have knowledge databases? How are they going to look? How about virtual knowledge databases?

  27. Web 3.0 data storage • RDF database. www.guha.com • Manages 3 value types (verb source target) or (arc source target) • Example likes Mike pizza. • In Rdf every object has an URI, unique resource locator • Example: (http://abc.org/rdf#likes http://abc.org/Persons/Mikes http://abc.org/Food/pizza)

  28. Rdf database creation • Syntax • Create database database_name • Example • Create database test

  29. Rdf file load or unload • Syntax • Load [file_type] [url] into database • file_type can be RDF_XML , RSS , RDF.DMOZ_RDF • Unload file [url] from database [database] • Example • Load DMOZ_RDF file http://abc.org/rdf/abc.rdf into database

  30. Rdf database insert • Syntax • Insert into [database_name] (arc1 source1 target1) (arc2 source2 target2) ….(arcn sourcen targetn) • Example • Insert into test (http://abc.org/rdf#likeshttp://abc.org/Person/Mike http://abc.org/Food/pizza)

  31. Rdf Database delete • Syntax • Delete from [database_name] (arc source target)

  32. Rdf Database Select • Syntax • Select [variable1 variable2 …. variablen] from {database} where [constraint1,constraint2,...]</> • Example • Select ?x,?y from test where (likes ?x ?y)

  33. Data storage in web 3.0 • If we would look at lessons learned in Web 2.0 , maybe not a rdf database will be the answer, but a semantic relational mapping framework. • virtual semantic database.

  34. Ontology • Is a representation of knowledge • Contains: • Individuals • Classes • Attributes • Relations • Function terms • Restrictions • Rules • Axioms • Events

  35. Ontology • Ontology can be expressed through languages like OWL or Web Ontology Language • OWL extends RDF so it can be stored in a rdf database • Protege is an open source ontology editor • Jena = semantic web framework for java

  36. Identity in web 3.0 • Identity can be reconstructed by software agents from social networks • Can an user build the identity he wants? • Contains name, address, birth date, picture, photos, friends, interests, movies • Will contain the identity of software agents that will be probably the identity of the person they represent

  37. Can an user control its identity ? • In Web 2.0 this is hard since many web sites are not interconnected • Maybe in web 3.0 this will be easier • Putting the identity in the hands of people is desired

  38. Identity can be processed by software computers • Return all java programmers that like science fiction and have camped on Andes , will become a possibility • Return all papers concerning identity and storage in web 3.0 will become something feasible

  39. Identity in web 3.0

  40. Questions?

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