Applied Artificial Intelligence
Applied Artificial Intelligence
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Applied Artificial Intelligence

Last updated on 2016-06-11

About the Book

Why yet another book on Artificial Intelligence? 

It is true that hundreds of publications on Artificial Intelligence (AI) have been published within the last decades - scientific papers and text books. Most of them focus on the theory behind AI solutions: logic, reasoning, statistical foundations, etc. However, little can be found on engineering AI applications.

Modern, complex IT applications are not built from scratch but by integrating off-the-shelf components: libraries, frameworks, and services. The same applies, of course, for AI applications. Over the last decades, numerous  off-the-shelf components for AI base functionality such as logic, reasoning, and statistics have been implemented - commercial and open source. Integrating such components into user friendly, high-performance, and maintainable AI applications requires specific engineering skills. "Applied Artificial Intelligence - An Engingeering Approach" focuses on those skills.

About the Author

Bernhard Humm
Bernhard Humm

Bernhard G. Humm is a professor for software engineering and project management at the Computer Science Department of Hochschule Darmstadt - University of Applied Sciences, Germany. He received a Ph.D. from the University of Wollongong, Australia and the degree Dipl.-Inform. from Kaiserslautern University, Germany.  His research focus is on semantic applications, software architecture, and programming languages. He is a member of the board of directors of the institute of applied informatics, Darmstadt (aIDa) and Ph.D. coordinator.  He is running several national and international research projects in co-operation with industry and research organizations and is publishing his results regularly. 

Before re-entering university as a professor, he worked in the IT industry for 11 years, as a software architect, chief consultant, IT manager and head of the research department of a large German software company. His clients were in the industry sectors finance, tourism, trade, and aviation.

Contact:   Prof. Bernhard G. Humm, Dipl.-Inform., Ph.D. Computer Science (AUS)   Hochschule Darmstadt - University of Applied Sciences, Computer Science Department   Haardring 100, 64295 Darmstadt, Germany   bernhard.humm@h-da.de, www.fbi.h-da.de/~b.humm

Table of Contents

  • Preface
  • Copyright Notice
  • 1. Introduction
    • 1.1 Overview of this Book
    • 1.2 What is AI?
    • 1.3 A Brief History of AI
    • 1.4 Prominent AI Projects
    • 1.5 Further Reading
    • 1.6 Quick Check
  • 2. Knowledge Representation
    • 2.1 Ontology
    • 2.2 Knowledge Representation Approaches
    • 2.3 Semantic Web Standards
    • 2.4 Services Maps and Product Maps
    • 2.5 Tips and Tricks
    • 2.6 Quick Check
  • 3. AI Application Architecture
    • 3.1 AI Reference Architecture
    • 3.2 Application Example: Virtual Museum Guide
    • 3.3 Data Integration / Semantic Enrichment
    • 3.4 Application Logic / Agents
    • 3.5 User Interface
    • 3.6 Programming Languages
    • 3.7 Quick Check
  • 4. Information Retrieval
    • 4.1 Information Retrieval Services Map
    • 4.2 Information Retrieval Product Map
    • 4.3 Tips and Tricks
    • 4.4 Application Example: Semantic AutoSuggest Feature
    • 4.5 Quick Check
  • 5. Natural Language Processing
    • 5.1 The Big Picture
    • 5.2 From Letters to Sentences
    • 5.3 NLP Services Map
    • 5.4 NLP Product Map
    • 5.5 Quick Check
  • 6. Machine Learning
    • 6.1 Machine Learning Areas and Tasks
    • 6.2 Machine Learning Approaches
    • 6.3 Machine Learning Services and Products
    • 6.4 Engineering a Machine Learning Application
    • 6.5 Quick Check
  • 7. Computer Vision
    • 7.1 Computer Vision Applications
    • 7.2 Computer Vision Tasks and Approaches
    • 7.3 Services and Product Maps
    • 7.4 Example: Named Entity Recognition with the Autokeyword.me Web Service
    • 7.5 Quick Check
  • 8. Conclusions
  • Literature
  • Appendix
    • Product Tables
    • Arts Ontology
  • About the Author

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