5. Sha‘rawi’s Knowledge Hierarchy

2019 ◽  
pp. 109-131
Keyword(s):  
Knowledge Hierarchy

Wisdom

2003 ◽  
Vol 20 (3-4) ◽  
pp. 83-104
Author(s):  
Mohamad Fauzan Noordin
Keyword(s):  
Information And Communication Technology ◽  
Communication Technology ◽  
Golden Age ◽  
Information Society ◽  
Knowledge Workers ◽  
Knowledge Society ◽  
Executive Information Systems ◽  
Information And Communication ◽  
Knowledge Hierarchy ◽  
Muslim Scholars

The levels of knowledge hierarchy (i.e., data, information, knowledge, and wisdom), are described in the Qur’an, the ahadith, and the literature produced during Islamic civilization’s Golden Age. They also have been discussed by western and non-Muslim scholars. However, while implementing and using information and communication technology (ICT), only the first three levels are currently being explored and utilized. Wisdom has not been discussed to any great extent. ICT has designed systems to assist us and has improved our life and work. However, such tools as decision-support systems and executive information systems comprise only data, information, and knowledge. Comprehensiveness does not guarantee the possession of wisdom. Taking things apart is knowledge; putting things together is wisdom. Muslim scholars of the Golden Age analyzed data, drew relationships and interpreted data to create information, identified and determined the pattern to represent knowledge, and understood the foundational principles for the patterns to implement wisdom. Wisdom must be included if ICT is to be complete. People, organizations, and the nation must strive for wisdom as the ultimate goal: from an information society to a knowledge society to a wisdom society, and from information workers to knowledge workers to wisdom workers.

Internal and Consulting Information Flows in the Process of Knowledge Accumulation

2019 ◽  
Vol 15 (1) ◽  
pp. 19-36 ◽  
Author(s):  
Wiliam Acar ◽  
Rami al-Gharaibeh
Keyword(s):  
Knowledge Creation ◽  
Practical Applications ◽  
Seci Model ◽  
Top Managers ◽  
Deductive Synthesis ◽  
Proposed Model ◽  
Control Framework ◽  
Recent Developments ◽  
And Control ◽  
Knowledge Hierarchy

Practical applications of knowledge management are hindered by a lack of linkage between the accepted data-information-knowledge hierarchy with using pragmatic approaches. Specifically, the authors seek to clarify the use of the tacit-explicit dichotomy with a deductive synthesis of complementary concepts. The authors review appropriate segments of the KM/OL literature with an emphasis on the SECI model of Nonaka and Takeuchi. Looking beyond equating the sharing of knowledge with mere socialization, the authors deduce from more recent developments a knowledge creation, nurturing and control framework. Based on a cyclic and upward-spiraling data-information-knowledge structure, the authors' proposed model affords top managers and their consultants opportunities for capturing, debating and storing richer information – as well as monitoring their progress and controlling their learning process.

Towards Fewer Design Failures

1994 ◽  
Author(s):  
Zhihui Yao ◽  
Aylmer L. Johnson
Keyword(s):  
Design Process ◽  
Constraint Satisfaction ◽  
Systematic Design ◽  
Early Design ◽  
Joint Design ◽  
Functional Modelling ◽  
Modelling System ◽  
Knowledge Hierarchy

Abstract Many designs fail because one or more checks are not done, or are done too late during the design process. A functional modelling system is presented, which provides systematic design checking at early design phases by means of constraint satisfaction. However, problems can occur if the design to be checked involves too many constraints. This paper presents some extended research, which establishes a knowledge hierarchy for managing the mathematical constraints, so that the computer can process large designs. A case study of fastening joint design using this hierarchy is discussed.

Approximate Query Answering with Knowledge Hierarchy

2010 ◽  
pp. 189-203
Author(s):  
Wookey Lee ◽  
Myung-Keun Shin ◽  
Soon Young Huh ◽  
Donghyun Park ◽  
Jumi Kim
Keyword(s):  
Cost Model ◽  
Numerical Data ◽  
Query Answering ◽  
Query Relaxation ◽  
Approximate Query Answering ◽  
Novel Method ◽  
Approximate Query ◽  
Semantic Distances ◽  
Ranking Measures ◽  
Knowledge Hierarchy

Approximate Query Answering is important for incorporating knowledge abstraction and query relaxation in terms of the categorical and the numerical data. By exploiting the knowledge hierarchy, a novel method is addressed to quantify the semantic distances between the categorical information as well as the numerical data. Regarding that, an efficient query relaxation algorithm is devised to modify the approximate queries to ordinary queries based on the knowledge hierarchy. Then the ranking measures work very efficiently to cope with various combinations of complex queries with respect to the number of nodes in the hierarchy as well as the corresponding cost model.

A Constellation Graph Based Approach for Ontology Construction

2013 ◽  
Vol 397-400 ◽  
pp. 2540-2545
Author(s):  
Yi Li Liu ◽  
Yang Yang
Keyword(s):  
Construction Process ◽  
Time Saving ◽  
Ontology Construction ◽  
Knowledge Hierarchy

The ontology construction methodology frameworks used so far are limited in certain domains lack of mature knowledge hierarchy and require the reference alignments to be specified manually. This paper presents a constellation graph based method to build ontologies including two critical steps: transform the property of the concepts abstracted into the corresponding data; draw a constellation graph based on the data and the classes in the same constellation part constitute a new kind of classes. This approach can facilitate ontology construction process with little human efforts and be more time-saving. A practical example is used to illustrate the performance of this approach.

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