Questable SemTech 2012 Presentation


Published on

  • Be the first to comment

  • Be the first to like this

No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide
  • eHarmonySuccessReason – Relevance, trust, etc…Life is about matching…finding what you want, need - what makes you happy and successful
  • Everything can have a personality, a persona And anything can be matched
  • How can this be accomplished technically…
  • What value can we add?
  • How do we set this process in motion?
  • Build a system…
  • This is what we have built…we started in 2006 and it’s in it’s third version.
  • Or email, sms…phone call.
  • The system starts to learn dynamically…
  • A new way to think about data, objects, information and interaction
  • Questable SemTech 2012 Presentation

    1. 1. Real world, real timesemantic matching<br />Applications in Business<br />
    2. 2. My background<br />Former VP Engineering eHarmony<br />14 years in search & recommendation<br />8 years in semantics<br />Enjoys matching socks<br />InventedRealtime Semantic Matching in 2006<br />Founded Semantic Systems LLC<br />Important lessons: relevance, timeliness, anonymity, feedback and trust<br />
    3. 3. Life is about matching<br />
    4. 4. Life is about matching<br />Every hipster needs a bicycle…<br />
    5. 5. Life is aboutmatching!<br />
    6. 6. Anything can be matched<br />People to products to places to servicesto events to information to tasksto llamas…<br />What about a dating site for anything?<br />…anonline profile for everything?<br />Get intimately introduced to the things you’re looking for - and the things you should know - in life…<br />
    7. 7. To do this we need to be able to model anything…<br />
    8. 8. Semantic profiles<br />Semantic profiles represent things in the world<br />They use a common ontology we call an Entology<br />An Entology is an OWL ontology that defines the type, structure, properties & behavior of a thing we want to match<br />…a common structure that allows these things to relate<br />
    9. 9. Create Profiles<br />
    10. 10. Semantic requests<br />Semantic requests define what we need<br />Also use a common ontology<br />Defines the type, characteristics, location and circumstance of what we are looking for<br />…a common structure that allows things<br /> to be found<br />
    11. 11. Create Requests<br />
    12. 12. How do we add smarts?<br />
    13. 13. Enrich<br />Profiles and requests are processed using NLP and other techniques to extract key concepts<br />They are enriched with LOD and other knowledge sources to expand those concepts<br />New relationships and properties are inferred<br />They become smarter and more attractive<br />
    14. 14. company executive<br />third startup<br />engineering<br />Enriched Profile<br />computers<br />knowledge<br />AI<br />manager<br />former CTO<br />british<br />outdoors<br />tropical vacation<br />adventure<br />current affairs<br />
    15. 15. immediate<br />public relations<br />technology<br />EnrichedRequest<br />marketing<br />web<br />TV<br />social media<br />track record<br />close to o’farrell & taylor<br />
    16. 16. How do they interact?<br />
    17. 17. Create an ecosystem<br />An environment of systems where<br /> Entologies are free to interact<br />All on a “quest”to find what you need<br />…ortell you things you should know<br />DISCOVERING new opportunities for you<br />Letting you know right there, right then…<br />…in Real Time<br />
    18. 18. Real Time SemanticMatchingPlatform<br />
    19. 19. How are we informed?<br />
    20. 20. Notifications<br />
    21. 21. Review Matches<br />Matches are reviewed…<br />Then explicitly rated by customers<br />Or the success of interactions <br />are implicitly observed<br />The system receives feedback<br />
    22. 22. GiveFeedback<br />
    23. 23. What happens then?<br />
    24. 24. Evolution<br />As entologies interact - they learn and evolve<br />Rules get refined, knowledge gets honed<br />If the match is good the algorithms& <br />assumptionsare affirmed<br />If the match is bad they are corrected<br />Many interactions between many entologies <br />means the system learns very quickly<br />
    25. 25. Better intelligence<br />Matches become better<br />and our <br />Understanding of the world becomes <br />more accurate<br />
    26. 26. What RSM isn’t…<br />Trawling Craigslist or eBay<br />The Google haystack<br />The Linked-In connection not in your network<br />That insight into your customers you didn’t know<br />That knowledge the team was missing<br />All the time you’ve wasted and every opportunity you’ve ever missed…<br />
    27. 27. What RSM provides…<br />Personal<br />Freedom of expression to find what really matters<br />Private<br />Freedom to choose who you interact with and how<br />Perpetual<br />Freedom from time spent on computers<br />Productive<br />Opportunity to meet the right things; to know more…sooner<br />Profound<br />Opportunity to change the way we interact<br />
    28. 28. Real Time Semantic Matching<br />Semantic matching connects people and things…<br />…to the people and things that matter.<br />Represent those things using Semantic Profiles & Semantic Requests<br />Create an ecosystem where they interact<br />Apply feedback so they learn and get smarter<br />
    29. 29. Real World Use Cases<br />
    30. 30. Mobile Business Networking<br />Introduces you to people, products and services that support your business objectives <br />
    31. 31. Education<br />Matches prospective students to schools, <br />programs and courses…<br />…based on their experiences, goals, aspirations & what drives them in life<br />
    32. 32. Events<br />Demo<br />
    33. 33. In development<br />Project Task and Collaboration Tool<br />Healthcare Navigation Platform<br />Historical Artifacts and Events Application<br />Corporate-Event-Stream Analysis Product<br />
    34. 34. Our new name…<br />
    35. 35. Questable<br />Life is a quest…don’t waste it searching.<br />
    36. 36. Questable<br />RSM Platform Licensing<br />Development Services <br />(Mobile & Web)<br />Knowledge Services <br /> (KB, Ontology, Mining, Analytics)<br />RSM API Service (August 2011)<br />
    37. 37. Questions?<br />Marcus Trevisani<br />Founder, CEO<br /><br />C 212.380.3936<br />O 212.380.3999 ext 1001<br />@trevisani<br />Sage Rader<br />Communications Officer<br /><br />C 917.568.6978<br />O 212.380.3999 ext 1002<br />