Name: Deep Semantic vs. Keyword and Shallow Linguistic: A New Approach for Supporting Exploitation
Text: Expert System
Deep Semantic vs. Keyword and Shallow Linguistic:
A New Approach for Supporting Exploitation
Federal Government Operations
Who we are
Expert System is the largest, fastest growing
semantic software company in the world.
We develop technology, applications and
solutions to extract, understand and share
information more effectively.
Established market presence
• Expert System was established in Modena, Italy by three
young programmers with an idea. A few months later,
Expert System’s software was integrated into the Microsoft
• Private and Profitable with Revenue doubled in the last
three years to over $15 million in 2010 and EBITDA above
• 30% of resources devoted to R&D and over $14 million
invested in the last 3 years, with $5M more planned for the
next 2 years.
• More than 100 employees and offices in Italy, London,
Washington, D.C. and Chicago.
Recognized for mature and proven technology
Identified among the world’s leading information
access technology developers.
Selected one of the “Innovative Information
Access Companies Under $100M to Watch.”
Recognized for text analytics and superior
SharePoint integration capabilities.
One of the few non-Microsoft technologies in the
MS Office suite.
A flood of unstructured data & information
More than 80% of the knowledge on which our daily jobs
are based is unstructured (emails, documents, web
pages, articles, information from social media, etc.).
• Over 294 Billion
emails sent daily.
• Over 6.1 Trillion
text messages sent
• And what about
phone calls, faxes,
chat sessions, etc. ?
Sources: Radicati Group, ITU.
The limits of traditional approaches
Breaks text into single words
without considering the
context, like reading a
language that we don’t
Az IBM szokásosan nagy hangsúlyt
helyez a továbbképzésre, így
munkatársai évente számos szakmai
tanfolyamon vesznek részt.
Recognizes words and identifies
their most basic forms
(lemmas), but cannot
distinguish between different
Sell -> Selling -> Sold
Neither understands the meaning of words.
Where semantic technology excels
One keyword, many
Over 231 million
for a single query.
The information we need is harder to find
Productivity of search
The increasing amount of information
• 15 Petabytes of new information a day
• 15 million searches a month
The diminishing effectiveness of search
• 1/3 of searches do not find intended results
• Over two hours a day are spent searching for information
Natural Language Search
Keyword Search (Google)
Files & Folders
Amount of information
Why we are different
Semantic technology understands the meaning of
words in the same way you learned to read.
• It understands the relationships
Luke (subject) has eaten (verb)
a chicken (object).
• It understands the meaning of
To eat (chicken); to consume
(oil); to destroy (sweater); to
spend (money); to rust (the
Next generation technology
The problem of text analysis
but the same
Equal Opportunity Law
Organization à Company
Organization à Charity
Organization à Trade Union
How Cogito works
What is a semantic network?
A rich map of associations and meanings of words.
• Includes all definitions of all words.
• Includes relationships between all words.
The quality of results is derived from the richness and complexity of
the semantic network.
The semantic net, the heart of Cogito
Traditional technologies can only guess the meaning of words
using keywords, shallow linguistics and statistics.
Instead, semantic networks can identify:
“San Jose is an
“San Jose is a
Develop and Add Custom Rules
Superior technology, tools
services maximize the
quality and the
performance of the
Other Middle Eastern
The objectives of IT
Source: AMR Research
How Expert System is unique
The Cogito semantic platform improves the
quality of results, and excels in:
Recall. Retrieves more
Productivity of search
relevant information through
Precision. Retrieves a high
level of accurate results that are
relevant to your query.
• Speed. Finds information
Amount of Information
Expert System in the news
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