Source of Knowing

Record to wisdom cycle

To understand source of knowing, it is essential to introduce the concept of Record to Wisdom Cycle.  The term record to wisdom cycle” is a concept used to describe a process by which individuals or organizations can accumulate and apply knowledge over time to develop wisdom. The cycle involves four stages:

1. Recording: The first stage of the cycle involves the acquisition and recording of the seeds of knowledge. This may involve gathering information through various means, such as capturing events, activities, and observation. The recorded knowledge may take the form of notes, reports, or other forms of documentation.

2, Organize: The second stage of the cycle involves organizing the recorded knowledge in a systematic and accessible way. This may involve categorizing the information, creating a database or information management system, or other methods of organizing and storing the information.

3. Analyze: The third stage of the cycle involves analyzing and synthesizing the recorded knowledge to identify patterns, trends, and insights. This may involve using various analytical tools and techniques, such as statistical analysis or data mining.

4. Apply: The final stage of the cycle involves applying the insights gained through the analysis of the recorded knowledge to solve problems or make decisions. This may involve developing new strategies, products, or services, or refining existing ones based on the insights gained through the analysis of the recorded knowledge.

Through this cycle, individuals or organizations can continually accumulate and apply knowledge over time, gradually building wisdom through the application of insights gained from previous experiences. By applying this cycle consistently and systematically, individuals or organizations can develop the ability to make sound judgments and decisions based on their accumulated knowledge and insights, and continue to grow and evolve over time.

Knowing Defined:

Before we explore the sources of knowing, it is helpful to explicitly define what we consider as knowledge and Knowing. knowing is a process of acquiring, expounding, and interpreting of information to qualitatively and quantitatively use as a coherent and meaningful know how.

Knowing and knowledge are two intertwined concepts. The Knowing process is expected to result in knowledge. Hence, knowing is the way to travel to arrive at knowledge. Hence, Knowing is a process of getting to know while knowledge is the outcome/product of the process of knowing.

Knowledge defined:

Knowledge as pointed out earlier is a bi-product of the process of knowing.  Knowledge is extracted from information stockpile using knowledge seekers effort. Below is a schematic presentation of the process of knowledge Discovery from Databases (KDD). (Source: Fayyad et.al, 1996, p27-fayyad.pdf (uhcl.edu) )

KDD emphasize  “knowledge” is the end product of a data-driven discovery” (Knowledge Discovery and Data Mining: Towards a Unifying Framework (aaai.org). As much as information is a multi-dimensional view of a record presented through databases, knowledge is a multi-dimensional view of information. Each piece of information which is a multi-dimension view of a record can tell us one dimension of the information.  

It may not be possible to know all, however, the knowing effort is to increase, organize and mine information stockpile both past and present to know more of the dimensions of an, event, activity, and observation. Hence, the value of knowledge is an accumulated and expanded value of information which is bult on the multi-dimensional records.

In these website, we will explore the key components of the primary sources of  knowing including extracting, transforming and transferring. This process on the database technical side is known as Extraction, Transformation and Loading (ETL).

 

 

 

This is where wizening starts.