A short introduction to Semantic Web - 2012
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The document provides an introduction to the semantic web, explaining that it aims to allow computers to interpret data on the internet by modeling information and relationships between data using metadata and implicit deductions, which will enable machines to better understand context, answer questions, and accomplish tasks without human involvement. It discusses how explicit metadata standards like RDF and implicit deductions are used to build semantic models and provides examples of how semantic searching and aggregation of content can be more useful than traditional methods.
A short introduction to Semantic Web - 2012
- 1. A Basic Introduction to Semantic Web
- 2. Introduction
- 3. Hi! My name is Mike Darnell. I was born in 1974 My 1st job was modeling underwear & Roman toys
- 4. My partner is Virode Imtarnasan - Thai, 38 years old, married, studied law Career: EA, Sega, IRM… Web: Cnngo, Vertu, Playboy… Is your website targeting and engaging prospects?
- 6. The Fun Bit
- 7. What do we need in order to have a conversation?
- 8. Our ability to process language is dependent on two elements:
- 9. Syntax…
- 10. …& Semantics
- 12. Semantics The study of meaning, focused on the relation between signifiers, such as words, and what they stand for
- 13. What is a “Semantic Web”?
- 14. Today’s web enables computers to communicate using a common SYNTAX
- 15. The semantics needed for UNDERSTANDING are still handled by us HUMANS
- 16. But this isn’t the plan…
- 17. “I dream of a web where computers are capable of analyzing ALL the data“ Sir Tim Berners-Lee (1999)
- 18. On the Semantic Web data is interpreted by machines, allowing them to perform the work involved in finding, combining, and acting upon information on the Internet
- 19. How?
- 20. By moving from this
- 21. To this
- 22. Semantic Web models are currently based either on Explicit Meta Data or Implicit Deductions regarding the content on the page
- 24. “Regular” HTML
- 25. HTML with Schema.org microdata semantic annotations
- 26. The Explicit Meta Data is the model supported by the W3C via it’s Resource Description Framework (RDF) specifications: Subject > Predicate > Object Thailand’s capital is Bangkok
- 28. Many sites allow triplet-like deductions without requiring formal meta data annotations
- 29. Why do we want it?
- 30. A machine-friendly web = more free human time
- 31. A semantic web will empower us to understand context without resorting to “search”
- 32. It will empower computers to accomplish tasks and answer questions that currently require human involvement
- 33. Searching SEMANTICALLY rather than SYNTACTICALLY is particularly useful for: Content in Context Answering questions Best product, Ideal booking, etc.
- 35. A Star Trek sequel is a serious ENTERPRISE
- 36. But Which One?
- 39. But a little structured data goes a long way…
- 42. Search Engines
- 43. Freebase is: “An entity graph of people, places and things, built by a community that loves open data.”
- 44. Hakia
- 45. Sigma
- 46. Lexxe
- 47. Qwiki
- 49. “Topic Pages” are popping up on publications everywhere
- 50. WSJ
- 51. Mashable
- 52. NYT
- 53. Reader apps
- 54. Semantic veteran Evri is moving from being a search engine…
- 55. …to a content aggregator and interest curator
- 56. Flipboard acquired Ellerdale to power it’s relevance and interest
- 58. Wolfram Alpha
- 59. True Knowledge
- 60. Assistants
- 61. Siri
- 62. Evi
- 63. What’s next?
- 64. Statistical Analysis NLP
- 65. “…Over the next few months, Google will begin spitting out more facts and direct answers to queries at the top of the search-results page…” WSJ.com
- 66. Google’s Knowledge Graph = 200,000,000 entities (= ~10*Freebase)
- 67. The “Internet of Things” Your fridge knows you’re about to run out of milk Your toilet know you’re lactose intolerant Etc…
- 69. The Next Big Thing may be enabled by new Technology
- 70. But its success is dependent on its ability to match of our most basic needs
- 71. Questions?
- 72. Thanks! …I’m at mi@vimi.co Mike