scholarly journals Fasting Ontology in Pillars of Islam

2018 ◽  
Vol 12 (2) ◽  
pp. 562
Author(s):  
Sara Afiqah Mohd Zailani ◽  
Nurul Aswa Omar ◽  
Aida Mustapha ◽  
Mohd Hisyam Abdul Rahim
Keyword(s):  
Life Cycle ◽  
Expert System ◽  
Search Engine ◽  
Ontology Development ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Instance Search ◽  
The Individual

The development of Fasting Ontology in the Pillars of Islam is presented in this paper and has been built based on reliable sources of Islamic Knowledge. The METHONTOLOGY methodology is used for the ontology development, which include identifying motivation scenarios, creating the competency questions, implementation and evaluation. From the beginning of the development of life cycle, the ontology was appraised from the competency questions and the outcome were clear. Therefore, this ontology can link each concept specifically to the individual verse together with the Tafsir that is related to the topics. The ontology proposed will be part of a larger ontology on Five Pillars of Islam. This development of the ontology is intended to refer to the field of learning for other purpose. For instance, search engine, chatbot, expert system or knowledge-based system.

An Advisory Conceptual Design Tool for Mechanical Transmission Systems

1994 ◽  
Author(s):  
C. P. Huang ◽  
F. W. Liou ◽  
J. J. Malyamakkil ◽  
W. F. Lu
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Conceptual Design ◽  
Design Process ◽  
Design Tool ◽  
Mechanical Transmission ◽  
Transmission Systems ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Packaging Machine

Abstract This paper presents an advisory conceptual design tool for mechanical transmission systems. Space consideration was taken into account during the design process. A prototype function tree was built in the form of knowledge-based system to transfer a designer’s idea into a set of mechanical components. An advisory expert system was also developed to help a designer in decision making. As an example, a packaging machine is designed using the developed system.

Knowledge Based System for Intelligent Search Engine Optimization

2012 ◽  
pp. 65-72 ◽  
Author(s):  
Héctor Oscar Nigro ◽  
Leonardo Balduzzi ◽  
Ignacio Andrés Cuesta ◽  
Sandra Elizabeth González Císaro
Keyword(s):  
Search Engine ◽  
Knowledge Based System ◽  
Search Engine Optimization ◽  
Intelligent Search ◽  
Knowledge Based

A KNOWLEDGE-BASED SYSTEM FOR THE IMAGE CORRESPONDENCE PROBLEM

1990 ◽  
Vol 04 (01) ◽  
pp. 45-55 ◽  
Author(s):  
CHUNG-MONG LEE ◽  
TING-CHUEN PONG ◽  
JAMES R. SLAGLE
Keyword(s):  
Image Features ◽  
Correspondence Problem ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Matching Process ◽  
Expert System Shell ◽  
Image Correspondence ◽  
Global Matching ◽  
Temporal Vision ◽  
The Individual

The image correspondence problem has generally been considered the most difficult step in both stereo and temporal vision. Most existing approaches match area features or linear features extracted from an image pair. The approach described in this paper is novel in that it uses an expert system shell to develop an image correspondence knowledge-based system for the general image correspondence problem. The knowledge it uses consists of both physical properties and spatial relationships of the edges and regions in images for every edge or region matching. A computation network is used to represent this knowledge. It allows the computation of the likelihood of matching two edges or regions with logical and heuristic operators. Heuristics for determining the correspondences between image features and the problem of handling missing information will be discussed. The values of the individual matching results are used to direct the traversal and pruning of the global matching process. The problem of parallelizing the entire process will be discussed. Experimental results on real-world images show that all matching edges and regions have been identified correctly.

BRAINDEX: An Interactive, Knowledge-Based System Supporting Brain Death Diagnosis

1990 ◽  
Vol 29 (03) ◽  
pp. 193-199 ◽  
Author(s):  
G. Schwarz ◽  
R. Grims ◽  
E. Rumpl ◽  
G. Rom ◽  
G. Pfurtscheller ◽  
...  
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Natural Language ◽  
Brain Death ◽  
Knowledge Based System ◽  
Forward Chaining ◽  
Brain Death Diagnosis ◽  
Knowledge Based ◽  
Expert System Shell

AbstractBRAINDEX (Brain-Death Expert System) is an interactive, knowledge-based expert system offering support to physicians in decision making concerning brain death. The physician is given the possibility of communicating in almost natural language and, therefore, in terms with which he is familiar. This updated version of the system is implemented on an IBM-PC/AT with the expert system shell PC-PLUS and consists of about 430 rules. The determination of brain death is realized with backward chaining and for the optional coma-scaling a forward-chaining mechanism is used.

Human–computer co-operative risk management systems

1990 ◽  
Vol 4 (3) ◽  
pp. 139-150
Author(s):  
Kiyoshi Niwa
Keyword(s):  
Risk Management ◽  
Expert System ◽  
Computer System ◽  
Operative Risk ◽  
Management Systems ◽  
Next Generation ◽  
Project Risk ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Project Risks

This paper presents a new concept, a ‘human-computer co-operative system’, as the next-generation knowledge-based system for application to project risk management. It first discusses the characteristics of project risks followed by the development of a common expert system for managing such risks. Then, system limitations are identified in terms of knowledge association, and a ‘human–computer co-operative system’ is proposed to overcome these limitations by explicitly incorporating human intuitive ability into the computer system. Finally, evaluations of the human–computer co-operative system are also described.

Ontology-Based Optimization in Search Engine

2013 ◽  
pp. 285-301
Author(s):  
Leonardo Balduzzi ◽  
Ignacio Cuesta
Keyword(s):  
Knowledge Representation ◽  
Knowledge Base ◽  
Search Engine ◽  
Search Engines ◽  
Inductive Learning ◽  
System Evolution ◽  
Knowledge Based System ◽  
Learning Capacity ◽  
Knowledge Based ◽  
Learning Techniques

The major aim of the chapter is to propose and study the use of ontology-based optimization for positioning websites in search engines. In this sense, using heterogeneous inductive learning techniques and ontology for knowledge representation, a knowledge-based system which is capable of supporting the activity of SEO (Search Engine Optimization) has been designed and implemented. From its knowledge base, the system suggests the most appropriate optimization tasks for positioning a pair (keyword, website) on the first page of search engines and infers the positioning results to be obtained. The system evolution and learning capacity allows optimizing the productivity and effectiveness of the SEO process.

A knowledge-based system integrated with numerical analysis tools for aircraft life-cycle design

1998 ◽  
Vol 12 (3) ◽  
pp. 211-229 ◽  
Author(s):  
WILLIAM J. MARX ◽  
DIMITRI N. MAVRIS ◽  
DANIEL P. SCHRAGE
Keyword(s):  
Life Cycle ◽  
Numerical Analysis ◽  
Life Cycle Cost ◽  
Integrated Design ◽  
Cost Estimates ◽  
Transport Aircraft ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Analysis Tools ◽  
Structural Concept

An integrated design and manufacturing approach allows economic decisions to be made that reflect an entire system design as a whole. To achieve this objective, we have developed and utilized integrated cost and engineering models within a focused design perspective. A framework for the integrated design of an aircraft system with a combined performance and economic perspective is described in this article. This framework is based on the concept of Design Justification using a Design-for-Economics approach. We have developed a knowledge-based system that can be used to evaluate aircraft structural concept material and process selections. The framework consists of the knowledge-based system, integrated with numerical analysis tools including an aircraft performance/sizing code and a life-cycle cost analysis code. Production cost estimates are applied for evaluation of process trades at the subcomponent level of design. Life-cycle cost estimates are used for evaluation of process trades at the system level. Results of a case study are presented for several advanced wing structural concepts for a future supersonic commercial transport aircraft. Cost versus performance studies indicate that a high-speed civil transport aircraft with a hybrid wing structural concept, though more expensive to manufacture than some homogeneous concepts, can have lower direct operating costs due to a lower take-off gross weight and less mission fuel required.

Interfacing a knowledge-based system to a large database

1989 ◽  
Vol 4 (1) ◽  
pp. 31-51 ◽  
Author(s):  
P. M. D. Gray ◽  
I. G. Archibald ◽  
K. Lunn
Keyword(s):  
Expert System ◽  
Relational Database ◽  
Large Database ◽  
End User ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Product Formulation ◽  
Front End ◽  
Mainframe Computer

AbstractThis paper describes the interfacing problem that arose in a Product Formulation expert system written in LISP that had to be interfaced to data in a relational database running on a separate mainframe computer. It surveys the different forms of coupling that are possible and emphasizes the advantages of tight navigational coupling over the more popular set-based coupling. It describes how Prolog was used to overcome the interfacing problems and to provide a customized front end to an end user, based on a navigational interface. It reviews the techniques of using Prolog and the likely obstacles, together with a look forward to databases using Frames or Objects.

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