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