Add to ORKGThe knowledge acquisition task has proven to be one of the greatest obstacles to the widespread use of knowledge-based systems. Traditional methods for eliciting knowledge from the various sources (usually human experts) are generally labor-intensive. This has made development of such systems quite expensive in many cases. One attractive alternative for breaking the bottleneck is to automate the knowledge acquisition task
Building a domain model consumes a major portion of the time and effort required for building an Int...
Abstract. This paper describes the work on automated Information Extraction that accepts arbitrary t...
The extraction of knowledge from domain experts for the purpose of building expert systems has been ...
The concept of accessing computer aided design (CAD) design databases and extracting a process model...
In the past decade, the use of control and diagnostic reasoning systems in different areas of govern...
A number of automated reasoning systems find their basis in process control engineering. These progr...
This paper presents a learning-based approach to the automation of knowledge acquisition for expert ...
Representation schemes are developed to simplify the understanding and processing of information. Th...
Modeling and simulation have always been highly useful techniques to use when designing, analyzing, ...
Artificial intelligence is the brainpower of machines. Due to the propagation of information knowled...
In this paper, we explore automatic model construction by analyzing natural language documents. The ...
[[abstract]]A CAD database generated by an automatic schematic capture system needs to be verified b...
Modeling and simulation have always been highly useful techniques to use when designing, analyzing, ...
Knowledge Acquisition refers to the transfer of expertise from a human expert into a knowledge-base ...
Rule-based expert systems, despite having demonstrated their usefulness in many circumstances, have ...
Building a domain model consumes a major portion of the time and effort required for building an Int...
Abstract. This paper describes the work on automated Information Extraction that accepts arbitrary t...
The extraction of knowledge from domain experts for the purpose of building expert systems has been ...
The concept of accessing computer aided design (CAD) design databases and extracting a process model...
In the past decade, the use of control and diagnostic reasoning systems in different areas of govern...
A number of automated reasoning systems find their basis in process control engineering. These progr...
This paper presents a learning-based approach to the automation of knowledge acquisition for expert ...
Representation schemes are developed to simplify the understanding and processing of information. Th...
Modeling and simulation have always been highly useful techniques to use when designing, analyzing, ...
Artificial intelligence is the brainpower of machines. Due to the propagation of information knowled...
In this paper, we explore automatic model construction by analyzing natural language documents. The ...
[[abstract]]A CAD database generated by an automatic schematic capture system needs to be verified b...
Modeling and simulation have always been highly useful techniques to use when designing, analyzing, ...
Knowledge Acquisition refers to the transfer of expertise from a human expert into a knowledge-base ...
Rule-based expert systems, despite having demonstrated their usefulness in many circumstances, have ...
Building a domain model consumes a major portion of the time and effort required for building an Int...
Abstract. This paper describes the work on automated Information Extraction that accepts arbitrary t...
The extraction of knowledge from domain experts for the purpose of building expert systems has been ...