knowledge engineer

He started his career as a researcher and knowledge engineer.

A knowledge engineer practically lives with an expert for six months or so.

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

Usually the knowledge engineer will represent the problem solving activity in the form of rules.

Reports say Japan now has two hundred knowledge engineers, and wants twenty thousand.

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

Knowledge engineers have marketed expert systems that help people to deal with practical problems.

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."

For this project, "knowledge engineers" have been gathering information for expert systems.

Knowledge engineers interpret and organize information on how to make systems decisions .

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

It is important that a knowledge engineer incorporates validation procedures into their systems within the program code.

Knowledge representation and knowledge engineering are central to AI research.

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

OF course, extracting the information from a human expert is a sometimes painful process, and can require the services of a knowledge engineer.

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:

The inherent complexity of law as a discipline raises immediate challenges for legal expert system knowledge engineers.

A new breed of computer experts called knowledge engineers are creating a form of artificial intelligence known as expert systems.

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.