Survey of the State-of-the-Art Expert/Knowledge Based Systems in Civil Engineering.

1986 ◽  
Author(s):  
Simon S. Kim ◽  
Mary Lou Maher ◽  
Raymond E. Levitt ◽  
Martin F. Rooney ◽  
Thomas J. Siller
Keyword(s):  
Civil Engineering ◽  
Expert Knowledge ◽  
State Of The Art ◽  
The State ◽  
Knowledge Based Systems ◽  
Knowledge Based

scholarly journals Knowledge acquisition for knowledge-based systems: Notes on the state-of-the-art

1989 ◽  
Vol 4 (3-4) ◽  
pp. 377-394 ◽  
Author(s):  
John H. Boose ◽  
Brian R. Gaines
Keyword(s):  
Knowledge Acquisition ◽  
State Of The Art ◽  
The State ◽  
Knowledge Based Systems ◽  
Knowledge Based

Knowledge Based Systems Validation: A State of the Art

1990 ◽  
Vol 3 (2) ◽  
pp. 58-72 ◽  
Author(s):  
Beatriz Lopez ◽  
Pedro Meseguer ◽  
Enric Plaza
Keyword(s):  
State Of The Art ◽  
Knowledge Based Systems ◽  
Knowledge Based

Applied terminology:

Terminology ◽  
1994 ◽  
Vol 1 (1) ◽  
pp. 181-192 ◽  
Author(s):  
Lynne Bowker
Keyword(s):  
Knowledge Engineering ◽  
State Of The Art ◽  
The State ◽  
Point Of View ◽  
Knowledge Based ◽  
Potential Benefits

Two recently published collections of articles that provide an overview of the state of the art in applied terminology are discussed from the point of view of two themes recurring throughout them: comparative terminology and knowledge engineering. Comparative terminology is one of the most traditional forms of terminology and is still among the most prevalent practiced today. New necessary approaches to handling problems in this area are outlined. One of the newest areas of research is knowledge-based terminology. The growing interest in exploring the potential benefits of a relationship between terminology and knowledge-engineering methods is shown by the discussion of various articles on this subject.

Artificial Intelligence and Geometric Reasoning in Manufacturing Technology

1986 ◽  
Vol 39 (9) ◽  
pp. 1325-1330 ◽  
Author(s):  
John R. Dixon ◽  
Clive L. Dym
Keyword(s):  
Artificial Intelligence ◽  
Design Process ◽  
Expert Knowledge ◽  
Geometric Reasoning ◽  
Geometric Representation ◽  
Knowledge Based Systems ◽  
Knowledge Based ◽  
Planning And Design ◽  
Control Assembly ◽  
Applications Of Ai

This article presents a brief review of the current literature on the applications of artificial intelligence (AI) technologies, and especially expert (knowledge-based) systems, to manufacturing. Emphasis is placed on geometric representation and reasoning in design as an aid to manufacturing. Also discussed are applications of AI to process planning and design, process control, assembly, and other phases of manufacturing.

Knowledge based systems in civil engineering

1989 ◽  
Vol 6 (1-2) ◽  
pp. 3-4
Author(s):  
William Young ◽  
Roger Hadgraft ◽  
Robyn Friday ◽  
Michael Prior ◽  
Ronald Sharpe ◽  
...  
Keyword(s):  
Civil Engineering ◽  
Knowledge Based Systems ◽  
Knowledge Based

Knowledge-based expert systems — The State of the Art in the US

1984 ◽  
Vol 1 (2) ◽  
pp. 18-27 ◽  
Author(s):  
F. Hayes-Roth
Keyword(s):  
Expert Systems ◽  
State Of The Art ◽  
Historical Context ◽  
The State ◽  
Knowledge Systems ◽  
Future Trends ◽  
Knowledge Based ◽  
Current State ◽  
The Us

SummaryThis paper aims to describe the current state of knowledge systems technology and its commercialisation in the US. First, knowledge systems are defined and placed in a historical context. The introduction is concluded with a preview of major ideas. The paper will assess the technological state of the art and will survey the current state of commercialisation. Finally, some anticipated future trends will be discussed.

scholarly journals The State of the Art in Methodologies of Course Recommender Systems—A Review of Recent Research

Data ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 18
Author(s):  
Deepani B. Guruge ◽  
Rajan Kadel ◽  
Sharly J. Halder
Keyword(s):  
Recommender Systems ◽  
State Of The Art ◽  
Current Knowledge ◽  
Research Literature ◽  
The State ◽  
Knowledge Based ◽  
Emerging Trends ◽  
Wide Range ◽  
Research Findings ◽  
Research Outcome

In recent years, education institutions have offered a wide range of course selections with overlaps. This presents significant challenges to students in selecting successful courses that match their current knowledge and personal goals. Although many studies have been conducted on Recommender Systems (RS), a review of methodologies used in course RS is still insufficiently explored. To fill this literature gap, this paper presents the state of the art of methodologies used in course RS along with the summary of the types of data sources used to evaluate these techniques. This review aims to recognize emerging trends in course RS techniques in recent research literature to deliver insights for researchers for further investigation. We provide a systematic review process followed by research findings on the current methodologies implemented in different course RS in selected research journals such as: collaborative, content-based, knowledge-based, Data Mining (DM), hybrid, statistical and Conversational RS (CRS). This study analyzed publications between 2016 and June 2020, in three repositories; IEEE Xplore, ACM, and Google Scholar. These papers were explored and classified based on the methodology used in recommending courses. This review has revealed that there is a growing popularity in hybrid course RS and followed by DM techniques in recent publications. However, few CRS-based course RS were present in the selected publications. Finally, we discussed future avenues based on the research outcome, which might lead to next-generation course RS.

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