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Artificial Intelligence for Big Data

You're reading from   Artificial Intelligence for Big Data Complete guide to automating Big Data solutions using Artificial Intelligence techniques

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788472173
Length 384 pages
Edition 1st Edition
Languages
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Authors (2):
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 Deshpande Deshpande
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Deshpande
 Kumar Kumar
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Kumar
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Toc

Table of Contents (19) Chapters Close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Big Data and Artificial Intelligence Systems 2. Ontology for Big Data FREE CHAPTER 3. Learning from Big Data 4. Neural Network for Big Data 5. Deep Big Data Analytics 6. Natural Language Processing 7. Fuzzy Systems 8. Genetic Programming 9. Swarm Intelligence 10. Reinforcement Learning 11. Cyber Security 12. Cognitive Computing 1. Other Books You May Enjoy Index

Ontology of information science


Formally, the Ontology of information sciences is defined as: A formal naming and definition of types, properties, and interrelationships of the entities that fundamentally exist for a particular domain.

There is a fundamental difference between people and computers when it comes to dealing with information. For computers, information is available in the form of strings whereas for humans, the information is available in the form of things. Let's understand the difference between strings and things. When we add metadata to a string, it becomes a thing. Metadata is data about data (the string in this case) or  contextual information about data. The idea is to convert the data into knowledge. The following illustration gives us a good idea about how to convert data into knowledge:

The text or the number 66 is Data; in itself, 66 does not convey any meaning. When we say 66F, 66 becomes a measure of temperature and at this point it represents some Information...

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Artificial Intelligence for Big Data
Published in: May 2018
Publisher: Packt
ISBN-13: 9781788472173
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