Mapping expert behavior onto task-level frameworks: The need for “Eco-pragmatic” approaches to knowledge engineering

2006 ◽  
pp. 59-77 ◽  
Author(s):  
Rolf Pfeifer ◽  
Thomas Rothenfluh ◽  
Markus Stolze ◽  
Felix Steiner
Keyword(s):  
Knowledge Engineering ◽  
Task Level

HUMAN-CENTERED MULTIAGENT DISTRIBUTED ARCHITECTURE FOR KNOWLEDGE ENGINEERING OF IMAGE PROCESSING APPLICATIONS

2004 ◽  
Vol 18 (01) ◽  
pp. 33-62
Author(s):  
R. KHOSLA ◽  
C. LAI ◽  
Y. MITSUKURA
Keyword(s):  
Image Processing ◽  
Soft Computing ◽  
Mammalian Cell ◽  
Face Detection ◽  
Knowledge Engineering ◽  
Four Levels ◽  
Problem Solvers ◽  
Tool Optimization ◽  
Task Level ◽  
And Task

In this paper we outline a human-centered multilayered multiagent distributed soft computing architecture for providing support to practitioners and problem solvers at four levels, namely, clerical, tool, optimization and task level, respectively. We describe the emergent characteristics of the architecture from a architectural, management and domain perspective. We illustrate the application of these four levels with the help of two image processing applications namely, face detection and annotation, and unstained mammalian cell classification.

Factors Influencing Cognate Performance for Young Multilingual Children's Vocabulary: A Research Synthesis

2020 ◽  
Vol 29 (4) ◽  
pp. 2170-2188
Author(s):  
Lindsey R. Squires ◽  
Sara J. Ohlfest ◽  
Kristen E. Santoro ◽  
Jennifer L. Roberts
Keyword(s):  
Test Validity ◽  
Reaction Times ◽  
Bilingual Children ◽  
Second Grade ◽  
High Quality Research ◽  
Word Level ◽  
Research Questions ◽  
Word Characteristics ◽  
Study Inclusion ◽  
Task Level

Purpose The purpose of this systematic review was to determine evidence of a cognate effect for young multilingual children (ages 3;0–8;11 [years;months], preschool to second grade) in terms of task-level and child-level factors that may influence cognate performance. Cognates are pairs of vocabulary words that share meaning with similar phonology and/or orthography in more than one language, such as rose – rosa (English–Spanish) or carrot – carotte (English–French). Despite the cognate advantage noted with older bilingual children and bilingual adults, there has been no systematic examination of the cognate research in young multilingual children. Method We conducted searches of multiple electronic databases and hand-searched article bibliographies for studies that examined young multilingual children's performance with cognates based on study inclusion criteria aligned to the research questions. Results The review yielded 16 articles. The majority of the studies (12/16, 75%) demonstrated a positive cognate effect for young multilingual children (measured in higher accuracy, faster reaction times, and doublet translation equivalents on cognates as compared to noncognates). However, not all bilingual children demonstrated a cognate effect. Both task-level factors (cognate definition, type of cognate task, word characteristics) and child-level factors (level of bilingualism, age) appear to influence young bilingual children's performance on cognates. Conclusions Contrary to early 1990s research, current researchers suggest that even young multilingual children may demonstrate sensitivity to cognate vocabulary words. Given the limits in study quality, more high-quality research is needed, particularly to address test validity in cognate assessments, to develop appropriate cognate definitions for children, and to refine word-level features. Only one study included a brief instruction prior to assessment, warranting cognate treatment studies as an area of future need. Supplemental Material https://doi.org/10.23641/asha.12753179

KEATS: A System to Support Knowledge Engineering and Training for Decision-Making Skills

1989 ◽  
Author(s):  
Fritz H. Brecke ◽  
Patrick Hays ◽  
Donald Johnston ◽  
Gail Slemon ◽  
Jane McGarvey ◽  
...  
Keyword(s):  
Decision Making ◽  
Knowledge Engineering ◽  
And Training

Engineering knowledge: philosophy and ponstructive meanig

2018 ◽  
pp. 10-16
Author(s):  
V. I. Onoprienko
Keyword(s):  
Information Technologies ◽  
Knowledge Engineering ◽  
Practical Rationality ◽  
Engineering Knowledge ◽  
World Today ◽  
The World ◽  
Technological Area

An expansion of information technologies in the world today is caused by progress of instrumental knowledge. It has been arisen a special technological area of knowledge engineering, which is related to practical rationality and experts’ knowledge for solving urgent problems of science and practice.

Knowledge Engineering

1998 ◽  
Author(s):  
John Debenham
Keyword(s):  
Knowledge Engineering

Application of Expert Systems Technology in Water Quality Modeling

1989 ◽  
Vol 21 (8-9) ◽  
pp. 1045-1056 ◽  
Author(s):  
Thomas O. Barnwell ◽  
Linfield C. Brown ◽  
Wiktor Marek
Keyword(s):  
Water Quality ◽  
Expert Systems ◽  
Knowledge Engineering ◽  
Stream Water ◽  
Environmental Modeling ◽  
Water Quality Modeling ◽  
Stream Water Quality ◽  
Quality Model ◽  
Knowledge Based ◽  
Available Technology

Computerized modeling is becoming an integral part of decision making in water pollution control. Expert systems is an innovative methodology that can assist in building, using, and interpreting the output of these models. This paper reviews the use and evaluates the potential of expert systems technology in environmental modeling and describes elements of an expert advisor for the stream water quality model QUAL2E. Some general conclusions are presented about the tools available to develop this system, the level of available technology in knowledge-based engineering, and the value of approaching problems from a knowledge engineering perspective.

Synthesising Privacy by Design Knowledge Toward Explainable Internet of Things Application Designing in Healthcare

2021 ◽  
Vol 17 (2s) ◽  
pp. 1-29
Author(s):  
Lamya Alkhariji ◽  
Nada Alhirabi ◽  
Mansour Naser Alraja ◽  
Mahmoud Barhamgi ◽  
Omer Rana ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Conceptual Understanding ◽  
Knowledge Engineering ◽  
Privacy Preserving ◽  
Design Knowledge ◽  
Privacy By Design ◽  
Healthcare Applications ◽  
Software Developers ◽  
Healthcare Application ◽  
Application Design

Privacy by Design (PbD) is the most common approach followed by software developers who aim to reduce risks within their application designs, yet it remains commonplace for developers to retain little conceptual understanding of what is meant by privacy. A vision is to develop an intelligent privacy assistant to whom developers can easily ask questions to learn how to incorporate different privacy-preserving ideas into their IoT application designs. This article lays the foundations toward developing such a privacy assistant by synthesising existing PbD knowledge to elicit requirements. It is believed that such a privacy assistant should not just prescribe a list of privacy-preserving ideas that developers should incorporate into their design. Instead, it should explain how each prescribed idea helps to protect privacy in a given application design context—this approach is defined as “Explainable Privacy.” A total of 74 privacy patterns were analysed and reviewed using ten different PbD schemes to understand how each privacy pattern is built and how each helps to ensure privacy. Due to page limitations, we have presented a detailed analysis in Reference [3]. In addition, different real-world Internet of Things (IoT) use-cases, including a healthcare application, were used to demonstrate how each privacy pattern could be applied to a given application design. By doing so, several knowledge engineering requirements were identified that need to be considered when developing a privacy assistant. It was also found that, when compared to other IoT application domains, privacy patterns can significantly benefit healthcare applications. In conclusion, this article identifies the research challenges that must be addressed if one wishes to construct an intelligent privacy assistant that can truly augment software developers’ capabilities at the design phase.

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