Knowledge Management: Learning from Knowledge Engineering

Knowledge management is the process of capturing, storing, sharing, and using knowledge within an organization. It is a critical element of any organization's success, as it allows employees to access the information they need to make informed decisions and perform their jobs effectively.

Knowledge Management: Learning from Knowledge Engineering

by Jay Liebowitz

4.1 out of 5

Language	:	English
File size	:	2473 KB
Text-to-Speech	:	Enabled
Enhanced typesetting	:	Enabled
Word Wise	:	Enabled
Print length	:	384 pages
Screen Reader	:	Supported
Hardcover	:	152 pages
Item Weight	:	13.8 ounces
Dimensions	:	6.45 x 0.61 x 9.52 inches

FREE

Knowledge engineering is a subfield of artificial intelligence that deals with the development of systems that can represent and reason with knowledge. Knowledge engineering techniques can be used to create knowledge bases that can be used by knowledge management systems to support a variety of tasks, such as:

• Answering questions
• Providing recommendations
• Solving problems
• Making decisions

Knowledge management can learn from knowledge engineering in a number of ways, including:

• How to represent knowledge. Knowledge engineering techniques can be used to create knowledge bases that represent knowledge in a structured and unambiguous way. This makes it possible for computers to reason with knowledge and to use it to solve problems.
• How to acquire knowledge. Knowledge engineering techniques can be used to acquire knowledge from a variety of sources, such as experts, documents, and databases. This knowledge can then be used to create knowledge bases that are used to support knowledge management systems.
• How to share knowledge. Knowledge engineering techniques can be used to create knowledge bases that can be shared across an organization. This makes it possible for employees to access the knowledge they need to perform their jobs effectively.
• How to apply knowledge. Knowledge engineering techniques can be used to create knowledge bases that can be used to support a variety of tasks, such as answering questions, providing recommendations, solving problems, and making decisions.

By learning from knowledge engineering, knowledge management can become more effective and efficient. Knowledge management systems can be used to capture, store, share, and use knowledge in a way that supports the organization's goals. Knowledge engineering techniques can be used to create knowledge bases that are structured, unambiguous, and easy to use. This makes it possible for computers to reason with knowledge and to use it to solve problems.

Knowledge management is a critical element of any organization's success. By learning from knowledge engineering, knowledge management can become more effective and efficient. This can lead to a number of benefits, such as improved decision-making, increased productivity, and reduced costs.

Knowledge management is a complex and challenging field. However, by learning from knowledge engineering, knowledge management can become more effective and efficient. This can lead to a number of benefits, such as improved decision-making, increased productivity, and reduced costs.

Knowledge Management: Learning from Knowledge Engineering

by Jay Liebowitz

4.1 out of 5

Language	:	English
File size	:	2473 KB
Text-to-Speech	:	Enabled
Enhanced typesetting	:	Enabled
Word Wise	:	Enabled
Print length	:	384 pages
Screen Reader	:	Supported
Hardcover	:	152 pages
Item Weight	:	13.8 ounces
Dimensions	:	6.45 x 0.61 x 9.52 inches

FREE