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Semantic Web Eco-System

Semantic Web Eco-System. Saranyan Narasimhan 30/Nov/2009. Introduction. Goal for Semantic Web Technology - Replacement to the current Web (1.0/2.0) ‏ - Touted as Web 2.0 - Unlimited access to the available open information. Current State of acceptance of Semantic Web:

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Semantic Web Eco-System

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  1. Semantic Web Eco-System Saranyan Narasimhan 30/Nov/2009

  2. Introduction Goal for Semantic Web Technology - Replacement to the current Web (1.0/2.0)‏ - Touted as Web 2.0 - Unlimited access to the available open information. Current State of acceptance of Semantic Web: 1. Research Labs 2. High investment projects for specific areas like Health Care, Security, Oil Explorations.

  3. What is the Remedy ? • Generate Network Effect Network Effect • Positive feedback • Square root of the total number of users Example: Telephone / Orkut / …. Almost all software exhibit Network Effect

  4. EcoSystems What is an EcoSystem ? - System where more than one species interact, grow and flourish. Software Ecosystem Set of related tools, software products and utilities, platforms and environments. Example: General: Open Source Ecosystem Specific: Java Eco System

  5. EcoSystem Analogy • Human = SemWeb • CS-6v81 = Humans • Land = Rdbms / other • Forest = Web1.0 / 2.0 • Herbivores = ??? • Carnivore = ???

  6. Need to identify “Support Tech.” • Understand Technology Gap • Areas of Potential Research • Identify factors that can lead to the Generation of “Network Effect” • Web 1.0 • Creation of HTTP • REST-ful Design • HTML - Easy code • Wizards

  7. Example WEB 2.0 Eco-System

  8. Apply the Model to Semantic Web • Potential to Generate Network Effect = Semantics-aware Search Engines • MicroTags • Natural Language Processing Technologies • WEB 1.0 Annotators – Convert 1.0 to SemWeb • D2RQ and R2D • Software to Create Semantic Pages : Jena • Community of S/W Engrs with Jena or Equivalent skills :)

  9. Current State of Semantic Search Engines • Page Retrieval Algorithm ? • Page Rank Algorithm ?

  10. NLP and Annotators • Annotators = Area of Potential Research ??? • Statistical NLP (SNLP) versus Semantic NLP • With Semantic Web, will SNLP gain momentum ??? • Interaction between SNLP and Semantic Information ?

  11. Conclusion • Identified a Few Missing Links • Lots of Opportunities for Research • May take a while to mature

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