Riley-O constructs a relevancy map of any document at realtime with a google-like interface and passes this map to search Google, bing, YAHOO!. Benefit here is helping users search: - when the user requires an entire document to satisfy the search requirement. - or when they don't know the subject matter or keywords; - or the possibility that the user does not know what they are looking for.

1. Session ID:
Prepared by:
Realtime textual analytics:
riley-o.com
riley-o.com constructs a relevancy map of any document at
realtime with a google-like interface and passes this map to
search Google, bing, YAHOO!.
Benefit here is helping users search: - when the user
requires an entire document to satisfy the search
requirement. - or when they don't know the subject matter or
keywords; - or the possibility that the user does not know
what they are looking for
10150
Albert Rojas

2. Introducing a new Type of Search Engine
2

3. Agenda
• Introductions
• Purpose of the session
• Review of riley-o.com technology
• Description of the environment
• Step through scenarios
• Q&A and wrap up
3

4. Purpose of the Session
• Demonstrate the advantages of riley-o.com for
searching where there are:
– Unlimited document types
– Where there is no identified or known subject
– Where the data is dynamic
– Where there is unstructured data
– There is no meta directory
– Satisfying both Data-at-rest and Data-in-motion
4

5. Why does this Matter?
• Industry analysts suggest that 80% of the content
within a typical global organization is unstructured
• 40% of knowledge workers time is spent trying to
find information Data-at-rest.
• Enterprise demands processing Data-in-motion is
on the rise, especially for business who wish to
customize a guest experience during a visit.
5

6. riley-o.com as a Technology
• Approaches the search engine Data at Rest objective from a different
perspective:
– Rather than using a key word search, using a description of what is
being searched for:
– The possibility that the user does not know exactly what it is that
they are looking for:
• “What are core topics in data set X?”
– Or, one that it may require an entire document to satisfy the search
requirement:
• “How do I find all documents that have a similar set of
arguments described in the paper written by Dr. Jones?”
– Or, the traditional:
• “what documents exist in this data that talk about the help desk
function with in the Navy user community.”
– Or the un-traditional:
• “Which document do I start with? There are 20 that describe
the help desk function within the navy.”
6

7. riley-o.com Technology
• Rather than relying on meta tags, riley-o.com uses
a unique linguistics engine to parse data and score
on content relevancy for both data-at-rest and
data-in-motion.
• Benefits:
– Meta tagging introduces exceptions and bias
– Meta tagging is expensive and time consuming
– Relevancy not the word-count determine rank (user
intent)
7

8. Step Thru Scenario riley-o.com
8