knowledge engineering

The building, maintaining and development of expert systems is known as knowledge engineering.

A major concern in knowledge engineering is the construction of ontologies.

They play an important role in the practical implementation knowledge engineering and artificial intelligence.

The program is based on two important features: the plan-generate-test paradigm and knowledge engineering.

Thus, the first essential component of knowledge engineering is a large "knowledge base."

Knowledge Engineering is a field of computer science which offers a significant body of work on problem-solving methods.

Knowledge representation and knowledge engineering are central to AI research.

Sugiyama was the author of several books on graph drawing and knowledge engineering.

The work on problem abstractions within knowledge engineering can therefore provide a basis for research in software engineering.

There are two main views to knowledge engineering:

A knowledge engineering approach is the predominant mechanism for method enhancement and new method development.

Creating a functioning expert system requires significant investments in software architecture, subject matter expertise and knowledge engineering.

The AI people call it knowledge engineering.

Knowledge based systems and knowledge engineering became a major focus of AI research in the 1980s.

A methodology for managing knowledge engineering projects.

In this view, the assumption is to apply conventional knowledge engineering techniques to transfer human knowledge into artificial intelligence systems.

Some of the trends in Knowledge Engineering in the last few years are discussed in this section.

In Handbook of software engineering & knowledge engineering.

The primary aim of knowledge engineering is to attain a productive interaction between the available knowledge base and problem solving techniques.

Data and Knowledge Engineering, 47 (2), 237-267.

SUMO has an associated open source Sigma knowledge engineering environment.

He is a professor of engineering department, knowledge engineering course of Doshisha University.

A knowledge engineering workbench.

Knowledge Engineering for Information Systems.

It can be considered a subfield of design computing, with emphases on artificial intelligence, computational creativity and knowledge engineering.