biologically inspired intelligence

ai-one™© ai-one inc. 2012

How to build content analytics with ai-one

Biologically Inspired Intelligence

creativitylogic

© ai-one inc. 2012

… with only a few ai-one™ commands it is easy to build applications to understand language!

The secret of content analytics

© ai-one inc. 2012

Here are samples where to use ai-one’s Topic-Mapper™ API in daily business cases.

Social MediaCommunicationNew’s / WebSites Shopping

… use the ai-one LIB/API almost anywhere

KeyWord Command: Recognizes the most important words by finding the words with the highest semantic value. These are the words that are essential to create meaning.

Understand any text

© ai-one inc. 2012

Use of the : KeyWordCommand

Recognize the meaning of text by identifying the words that are most important. These words have the most semantic value.

Understand any text

© ai-one inc. 2012

1. Extract the most important words to create form the Light Weight Ontology (LWO).

2. These words abstract the meaning.

3. Now ai-one or other matcher can classify and sort the text.

This is the ai-Fingerprint. In this text, 7 words summarize meaning.

Use of the : KeyWordCommand

AssociationAnalyze Command: Determines how words are semantically connected. It finds EVERY relationship in the entire text or group of texts. It detects every pattern… even the ones we could not predict!

Find associative, semantic relations

© ai-one inc. 2012

Use of the : AssociationAnalyze Command

WORD

WORD

WORDWORD

WORD

WORD

WORD

WORD

WORDWORD

This commands starts with one or multiple words and searches for the semantic relations.

• Finds patterns of relations in whole text corpus

• Validates the importance of a connection between two or multiple words

• Detects association bridges between two words

• Displays semantic chains!

Phonetic Command: One additional challenge is the spelling. Users very often miss spell words. Therefore we also search for syntax patterns in order to verify word accuracy.

© ai-one inc. 2012

Find syntax patterns

Use of the : PhoneticCommand

• Maier• Mair• Paier• Meier

The Phonetic command recognizes syntax patterns. It identifies similar words, spelling errors and artificially re-designed words.

It finds word patterns, even where the first characters might be wrong!

• Meyer• Peyer• Peier• …

© ai-one inc. 2012

Use of the : combine the commands

Combine ai-one commands to meet the needs of each project.

Using ai-one requires programmers to look to the data to find the answers – not try to impose a structure or command.

Programming is very fast once conventional thinking is replaced with using semantic reasoning.

Query chains, combinations In certain cases it may help to chain the different commands into a small workflow.

KeyWordCommandAssociationAnalyseCommandPhoneticCommandLearn & Tighten CommandsFocus & others…

… reveal the semantic meaning of any text, in any language!

Summary: just a few commands

© ai-one inc. 2012

© ai-one inc. 2011

Current linguistics and semantic solutions work only if they are feed with accurate and detailed language-dependent models. Worse, they do NOT incrementally update or learn!

© ai-one inc. 2010

ai-one gives better results!

• near real-time increment updates & learning • reveals inherent meaning (semantics)• works in any language • no pre-programming, ontologies, thesauri required

ai-one is suprior:

© ai-one inc. 2011© ai-one inc. 2010

LWO: Dynamic and self-detection ontologies

Peer-reveiewd academic paper by Prof. Dr. habil. Ulrich Reimer, University of Applied Sciences St. Gallen, "Learning a Lightweight Ontology for Semantic Retrieval in Patient-Center Information Systems."

Computational linguistics Professor Ulrich Reimer (University of St. Gallen, Switzerland) compared ai-one to other leading-edge technologies to analyze Internet information (news platforms, online news, RSS feeds, blogs etc.)

Professor Reimer determined that ai-one was faster, more accurate in detecting the meaning and comparing documents.

Source: International Journal of Knowledge Management, Volume 3, 2011.

Intelligent Language Handling

© ai-one inc. 2011© ai-one inc. 2010

Full-fledged ontologies [Supervised learning]- Works only with detailed models- Language dependent - no incremental updates

Sharing / reuse of ontologies [limited possibilities]- Based on models, quality inconsistent- Language dependent- no incremental updates

Folksonomies [WEB 2.0 / semantic WEB]- No quality or validation controls- Often incomplete or not existent- Language dependent- no incremental updates

Intrinsic semantic (LWO) vs.:

© ai-one inc. 2011© ai-one inc. 2010

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ai-one is language independent

The CORE works on binary level

© ai-one inc. 2011© ai-one inc. 2010

• Categorize content based on rules

• Structured approach• Trained; Manually

updated and developed

Find connections(LWO)

• Autonomous display of any kind of data

• Unstructured approach• Recognition of all

connections between words

Categorization(NLP)

Combine ai-one with NLP and ontology for best possible output conditioning.

Better decisions because ai-one!

Sense,Meaning

Decisions

ai-one plus NLP for perfect results

• Sentiment analysis• Social media analysis• Trend studies• Automatic classifying• Autonomic sense making• Detecting unknown patterns• Answers unknown questions• Autonomic decision making

... and much more

© ai-one inc. 2012

A few ai-one commands solve and support:

Explore and explain the world of language with two primary commands.

Complementary commands make it easy to adapt to almost any situation.

…that’s the ai-one LIB & API!

© ai-one inc. 2012

Only a few commands to understand text:

Thank You!

© ai-one inc. 2012

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