The Knowledge Engineering Process

1997 ◽  
pp. 45-65
Author(s):  
Homer R. Warner ◽  
Dean K. Sorenson ◽  
Omar Bouhaddou
Keyword(s):  
Knowledge Engineering ◽  
Engineering Process

scholarly journals The Development of a MOOCs Knowledge Repository System Using a Digital Knowledge Engineering Process to Enhance Digital Entrepreneurs’ Competencies

2021 ◽  
Vol 11 (6) ◽  
pp. 85-101
Author(s):  
Nattaphol Thanachawengsakul ◽  
Panita Wannapiroon
Keyword(s):  
Human Performance ◽  
Knowledge Engineering ◽  
Small And Medium Enterprises ◽  
Competency Assessment ◽  
Engineering Process ◽  
Significance Level ◽  
Knowledge Repository ◽  
Digital Knowledge ◽  
Dependent Sample ◽  
Medium Enterprises

The objectives of this research were as follows: the development of a MOOCs knowledge repository system using a digital knowledge engineering process, and a competency assessment of digital entrepreneurs engaging in a MOOCs knowledge repository system using a digital knowledge engineering process. A total of 30 people were selected as a sampling group (purposive sampling) for this study, these included Small and Medium Enterprises (SMEs) in Bangkok with expertise in Human Performance Technology (HPT), as well as the MOOCs knowledge repository system. The mean, standard deviation, percentage, and a dependent sample t-test were used in the procedure for data analysis. The research findings suggested that: (1) the overall result concerning the development of a MOOCs knowledge repository system using a digital knowledge engineering process was at the highest level (Mean = 4.89, S.D. = 0.31), and (2) the overall result regarding the competencies of digital entrepreneurs after engaging in a MOOCs knowledge repository system using a digital knowledge engineering process passed the 80% rating, according to criteria. Moreover, learners who had undertaken activities through a MOOCs knowledge repository system using a digital knowledge engineering process improved their learning outcomes with a significance level of .05 based on the research hypothesis.

scholarly journals RANCANG BANGUN SISTEM PAKAR PENANGGULANGAN PENYAKIT KEDELAI

2016 ◽  
Vol 25 (1) ◽  
pp. 117
Author(s):  
Indah Puji Astuti ◽  
Irman Hermadi ◽  
Agus Buono ◽  
Kikin H Mutaqin
Keyword(s):  
Expert System ◽  
Time Allocation ◽  
Knowledge Engineering ◽  
System Development ◽  
Prototype System ◽  
Engineering Process ◽  
Detection And Identification ◽  
Development Life Cycle ◽  
Soybean Diseases ◽  
Very High

Early detection and identification of soybean diseases is important to support better productivity of soybean. The demand for the availability of an expert on soybean disease is very high, especially for the beginners in the field of agriculture. However, the number and time allocation of the experts are not adequate to serve farmers located in different geographical areas. Therefore, an expert system is proposed as a solution to use as a diagnostic tool for soybean diseases just like a human expert. It will be even easier when the system is implemented into an Android-based application to be used anywhere and anytime. The objective of this study was to analyze and design an expert system for early identification of soybean diseases. This study was adopting the Expert System Development Life Cycle (ESDLC) approach. The stages were project initialization, knowledge engineering process, and implementation. The study was started with the project initialization phase that conducted in September 2014 and the completion of the implementationphase in August 2015. The results of research were in the form of document analysis and prototype system.

Graphical Access to Medical Expert Systems: III. Design of a Knowledge Acquisition Environment*)

1987 ◽  
Vol 26 (03) ◽  
pp. 78-88 ◽  
Author(s):  
Joan Walton ◽  
M. A. Musen ◽  
D. M. Combs ◽  
C. D. Lane ◽  
E. H. Shortliffe ◽  
...  
Keyword(s):  
Expert Systems ◽  
Knowledge Acquisition ◽  
Knowledge Engineering ◽  
Interactive Graphics ◽  
Engineering Process ◽  
Medical Expert ◽  
Domain Experts ◽  
Computer Scientists ◽  
Chemotherapy Protocol ◽  
Medical Expert Systems

SummaryKnowledge acquisition for expert systems typically is a tedious, iterative process involving long hours of consultation between the domain experts and the computer scientists who serve as knowledge engineers. For well-understood domains, however, it may be possible to facilitate the knowledge acquisition process by allowing domain experts to develop and edit a knowledge base directly. Administration of protocol-directed cancer chemotherapy is such a well-understood application area, and a knowledge acquisition system, called OPAL, has been developed for eliciting chemotherapy-protocol knowledge directly from expert oncologists. OPAL’s knowledge acquisition approach is based on the interactive graphics environment available on current generation workstations. The use of graphics improves the interface by reducing typing, avoiding natural language interpretations, and allowing flexibility in entry sequence. The knowledge in OPAL is displayed using an arrangement of hierarchically related, graphical forms. The position of a particular form in the hierarchy defines the context of the knowledge contained in the form. Intelligent editing programs such as OPAL can streamline the knowledge engineering process for highly structured domains requiring repetitive knowledge entry.

scholarly journals A Data-Driven Knowledge Acquisition System: An End-to-End Knowledge Engineering Process for Generating Production Rules

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 15587-15607 ◽  
Author(s):  
Maqbool Ali ◽  
Rahman Ali ◽  
Wajahat Ali Khan ◽  
Soyeon Caren Han ◽  
Jaehun Bang ◽  
...  
Keyword(s):  
Knowledge Acquisition ◽  
Knowledge Engineering ◽  
Data Driven ◽  
Acquisition System ◽  
Engineering Process ◽  
Production Rules ◽  
End To End

Knowledge Based Design Method for Fibre Metal Laminate Fuselage Panels

2005 ◽  
Author(s):  
B. Vermeulen ◽  
M. J. L. van Tooren ◽  
L. J. B. Peeters
Keyword(s):  
Design Process ◽  
Knowledge Engineering ◽  
Early Stage ◽  
Design Method ◽  
Current Approach ◽  
Design Approach ◽  
Design Parameters ◽  
Maintenance Cost ◽  
Engineering Process ◽  
Fibre Metal

Fibre Metal Laminates (FML) are a member of the hybrid materials family, consisting of alternating metal layers and layers of fibres embedded in a resin. Improved damage resistance and tolerance result in a significant weight and maintenance cost reduction compared to aluminium. FML also give the aircraft engineer additional design freedom, such as local tailoring of laminate properties. However, experience has shown that FML’s provide the aircraft manufacturer with many challenges as well. With increasing complexity of the structure, requirements from different disciplines within the engineering process will start to interfere, resulting in conflicts. This article discusses the current engineering process of FML fuselage panels as applied at Stork/Fokker Aerospace (FAESP). A case study is presented, clarifying the current design process and the way requirements start to interfere during the engineering process. A new approach based on Knowledge Engineering is discussed, implementing knowledge from engineers from all disciplines in an early stage of the design process. An automated design approach for FML fuselage panels is presented, using the same design parameters as the current approach. Because of the high complexity of the design, requirements start to conflict. Fulfilling all requirements with a traditional engineering approach results in an iterative and time consuming process. Automation of the design process, integrating knowledge and requirements from all disciplines, results in a fast and transparent design approach.

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