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Presentazione Expert System

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Title: Presentazione Expert System


1
Semantic Intelligence The Enabler of Mobile
Search
May 23 2007, San Jose - CA
2
Introduction to Mobile Search
  • The mobile phone is the most ubiquitous
    communication tool, used for a variety
    of activities
  • Voice Communications Messaging - Information
    Gathering Entertainment Shopping Commerce
    Much More
  • The mobile phone is a new and unique medium
    because it occupies a distinctly different place
    in consumers lives than a PC, TV, or any other
    commonly used tool.
  • Given this unique nature there are some unique
    customer experience heuristics that should be
    considered when designing products and services
    for the mobile channel.

3
The Truth About Mobile Search
  • Mobile search is NOT simply targeted at the
    personalization and entertainment uses,
    mobile search also addresses several utility
    functions.
  • Mobile phones accessing the Internet have
    several disadvantages over PCs
  • Tiny screens with limited capability, unsuited
    to show a lot of detailed information and
    numerous search results.
  • Compact number pads and small keyboard
  • Different input methods, display screens,
    browsers, operating systems, and user interfaces
    - Mobile devices do not conform to any standards.
  • Thus Mobile search tends to look for an
    experience that offers answers and
    actionable results, rather than links that lead
    to more searching.

4
  • Introduction to Semantic Intelligence

Semantic Intelligence is an advanced way to
transform unstructured information into
structured data that can be managed with standard
databases.
5
Introduction to Semantic Intelligence
  • Recognizing the meaning of the words is
    fundamental to understanding the content of any
    text.
  • Semantic Intelligence enable the understanding
    of the real meaning of the words and expressions
    used in the text, thanks to
  • Deep analysis
  • Recognition of the context
  • Richness and completeness of information
    contained in its semantic net (Sensigrafo more
    than 350.000 concepts and 1 million relations)
  • This works at a real conceptual level, evolving
    from the bag of words to a set of abstract and
    powerful concepts

6
  • Introduction to Semantic Intelligence
  • Going deep means recognizing the inner structure
    of the text and the relations between the
    elements, and being able to manage the content
    with much higher precision and relevance.
  • For example, in a sentence like this

The sandwich that John gave to me was very tasty
  • The system understands that it is the sandwich
    that is tasty (and not John even if it is nearer
    in the text), that John gave it to me and that
    the main clause is The sandwich was very tasty.

7
  • Introduction to Semantic Intelligence
  • Working on the semantic part of the content, the
    system can easily understand that this sentence

A fast car that eats gas
  • Has many words in common with this sentence

A car goes fast when we step on the gas
  • But the meaning of gas (and of the whole
    sentence) is completely different.
  • In the first one, we are talking of gasoline
    while in the second of the accelerator.

8
Semantic Intelligence Mobile Search
Semantic Search addresses the limitations of
keyword search in the mobile space by integrating
content and producing accurate results to natural
language queries.
  • Integrates structured or unstructured content
    from an entitys knowledge base.
  • Enables users to ask questions receive
    specific, accurate answers!
  • No need to surf through slow links or get
    faulty info through keyword search.

9
Semantic Intelligence How It Works
  • Deep linguistic analysis
  • of the natural language based query to really
    understand the intent of the user AND
  • of the content (if unstructured) to really
    understand what is available in the knowledge
    base.
  • The system recognizes the inner structure of the
    text and the relations between the elements, and
    can manage the content with high precision
    and relevance, such as
  • When is the next flight to NY? OR At what time
    is the next plane to JFK ?
  • What did the As do last night? OR What was
    the score of the As game OR Did the As win
    last night?
  • The system understands that the questions have
    the same meaning and that in both cases specific
    information is requested.

10
Semantic Intelligence How It Works
  • Structured Content
  • The natural language query is translated into a
    DB query that is used to access the information
    available.
  • The semantic analysis of the question in input
    enables an efficient creation of the right DB
    Boolean query.

Ex At What time is the next flight to
NY? Query time Now next flight first
flight after Now from current location to
New York
11
Semantic Intelligence How It Works
  • Unstructured Content
  • Content is analyzed semantically to identify
    Atoms of knowledge
  • Example from Wikipedia
  • - Atom 1 The African and Asian elephants are
    separate species.
  • - Atom 2 African elephants, at up to 4 m
    (13'1") tall and weighing 7500 kg, (8.27
    tons) are usually larger than the Asian species
    and they have bigger ears.
  • The embedded validated and structured knowledge
    can be leveraged immediately, requiring an
    integration for only very specific domains
  • Conceptual map of the content is created
  • Question is analyzed to understand what the user
    is asking for requested
  • Example How tall are the elephants?
  • The system automatically links the info requested
    and the atom of knowledge (including the
    answer) using the semantic information extracted
    from the analysis of the question and the results
    of the analysis of the answer.

12
  • COGITO Implementation
  • For a complex technology, speed of execution is
    fundamental What would have happened if Google
    hadnt implemented PageRank algorithm in
    such a fast way?
  • COGITO has been designed and implemented with
    an industrial approach that performs one or two
    orders of magnitude faster than anything else
    (50KBps of text analyzed).
  • The speed of analysis translates into higher
    precision because the system can analyze a
    high number of options and choose the
    best possible one.
  • Our customer base proves that COGITO can be
    used in all projects and
    industries without limits on scope, volume
    or performance.

13
  • Usage Benefits
  • Customer Service
  • Extremely relevant, very real and pressing need
    in the mobile space.
  • Large companies are spending millions yearly on
    answering customer queries, this type of semantic
    tool greatly reduces cost and increases
    efficiency!
  • Deliver seemingly endless amounts of info
    through simplest query answer format ideal
    for mobile phone.
  • Allows customers to ask questions such as
  • How does it work?
  • What is my account balance?
  • Is there a widget of any spec in stock?

14
Usage Benefits
  • Directory Assistance - 411
  • Current 411 DBs and search are very limited by
    rigid structure and menu navigation, resulting in
    much less data being easily accessible from a
    mobile phone.
  • Deliver much greater amounts of relevant info
    and data points through simplest semantic query
    answer format.
  • Customers can easily input content to the DB
    make each result more detailed and relevant
  • Allowing customers to interact simply and
    without boundaries
  • Q Where is the best NY style pizza place near
    Russian Hill that delivers with good salads and
    open until midnight?
  • A Amicis Pizza, 415-885-4500, 2200 Lombard
    Street, 94123

15
Usage Benefits
  • Extending Content
  • Content Publishers have a difficult time making
    their vast amounts of info easily extendible via
    mobile, where minimal user interface hurts their
    users ability to navigate the content.
  • Now content publishers can deliver the exact
    desired info to mobile users through easy
    semantic query and answer.
  • Encyclopaedia Britannica users can ask questions
    such as
  • When was George Washington born?
  • Who was George Washingtons wife?
  • What famous river did George Washington lead the
    troops across?
  • Instead of searching for George Washington
    then going through all articles, the exact info
    desired is delivered!

16
More Examples
Who coached the Jets in 2003?
Does Mr. Doe live in Pomfret, CT?
How do I send email with my Blackberry?
Who sings Imagine?
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