Taking Advantage of Semantic Web
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This document discusses the evolution of the web and the concept of the semantic web. It defines the semantic web as a web with meaning where data is interlinked and searchable. The key aspects of the semantic web include using technologies like RDF, OWL and SPARQL to embed relationships and definitions within data to make it more meaningful and accessible to machines. This allows for more personalized searches and access to accurate information. Challenges include developing open standards for ontologies.
Taking Advantage of Semantic Web
- 1. TAKING ADVANTAGE OF SEMANTIC WEB Sankaranand Balaradjou www.sankaranand.com
- 2. WEB 1.0 (1996) Read only information Encyclopaedia HTML Forms, Pages and Links Directories Just Interlinking of Webpages
- 3. WEB 2.0 (2006) Community Blogs Tagging Web Application Wikipedia Sharing RSS and XML
- 4. WEB 3.0 (???) Personalisation The Semantic Web Artificial Intelligence Mobility (Data Portability)
- 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. WHAT IS SEMANTIC WEB ? Group of methods and technologies The Semantic Web = a Web with a meaning searching, aggregating and combining of the Web's information Access Meaningful and accurate information Data are interlinked
- 7. BUILDING THE RELATIONSHIP Siva Kumar is Suryas Father Automated and Manual Relationship
- 8. IDENTITY
- 10. ADVANTAGES OF MACHINES They process long and complex computing Comparing and indexing large data Searching millions of data
- 11. ADVANTAGES OF HUMANS We know the meaning Relations Logical Intelligence
- 12. MAKING THE EXISTING DATA MEANINGFUL Rules or Ontologies Semantic Programming Techniques Data and Metadata Together
- 13. LINKED DATA
- 14. EXAMPLE Facebook Graph Google Knowledge Graph
- 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. THE SOLUTIONS ? Top Down Bottom Up
- 17. TOP DOWN Analysis the information Process Natural Language
- 18. BOTTOM UP Embed Core Notations in Information
- 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. RDF EXAMPLE <?xml version="1.0"?> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:cd="http://www.recshop.fake/cd#"> <rdf:Description rdf: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. SPARQL Semantic SQL Language Uses WDSL (Web Services Description Language )
- 23. THE CHALLENGES An Open Standard of Ontology Or Standard Microformat
- 24. NO SELFISHNESS Wikipedia and Success Teach Machine everything and let it do the work for you
- 25. GOOGLE KNOWLEDGE SEARCH Categorise Document Meaningful tags Related Document Recognize known Entities
- 27. BOOK MY SHOW FRIEND SEATING
- 29. FRIENDS REVIEWS
- 30. SEMANTIC SERVICE-ORIENTED ARCHITECTURE Scalable Enterprise Application Watch the video
- 31. BUILD MEANINGFUL APPLICATIONS Tight Integration with Other Service Platforms and APIS Unified Information and Sharing Portability No Lack of Content Easy Adoption Reusability of Data
- 32. BUILD YOUR OWN SEMANTIC APP Storage Layer - Storage Manipulation Layer - Processing Representation Layer - View Choose the Right Tools
- 33. THANK YOU Twitter -> @sankaranand