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.
- Copyright Notice
- 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
- Product Tables
- Arts Ontology
- About the Author
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