An Introduction to Knowledge Engineering
Knowledge Engineering, as a discipline and a profession, has emerged from the practical application of decades of research into artificial intelligence and intelligent systems. In particular, knowledge engineering refers to the development of systems that use knowledge, rather than data, to solve ma...
| Main Authors: | , |
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| Corporate Author: | |
| Language: | English |
| Published: |
London :
Springer London : Imprint: Springer,
2007.
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| Edition: | 1st ed. 2007. |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-1-84628-667-4 |
Table of Contents:
- An Introduction to Knowledge Engineering
- Data, Information and Knowledge
- Skills of a Knowledge Engineer
- An Introduction to Knowledge Based Systems
- Types of Knowledge Based System-Expert Systems
- Neural Networks
- Case Based Reasoning.-Genetic Algorithms
- Intelligent Agents
- Data Mining-Knowledge Acquisition
- Knowledge Representation and Reasoning
- Using Knowledge
- Logic, Rules and Representation
- Developing Rule Based Systems
- Semantic Networks
- Frames
- Expert System Shells, Environments and Languages 169
- Expert System Shells
- Expert System Development Environments
- Use of AI Languages
- Lifecycles and Methodologies
- The Need for Methodologies
- Blackboard Architectures
- Problem Solving Methods
- KADS-HyM (the Hybrid Methodology)
- Building a well Structured Application Using Aion BRE
- Uncertain Reasoning
- Hybrid Knowledge
- Based Systems
- Index.