The Knowledge Inventory; Part 2

Suppose we used the Dewey Decimal System to write a resume. A person could be described as a series of numbers instead of words and computers can search the numbers as they do key words today.

For example: 302, 307, 330, 607, 17, 500, 519

This person has experience in social interactions, communities, economics, educational research, ethics, natural sciences, statistical analysis

While memories of high school librarians may make us cringe, the computer loves numbers and classifications in this format. This will be important especially where knowledge is very specific. However, this simple list of numbers does not capture the knowledge of a person any better than the flawed “key word” search system that we are trying to replace. So we need to do something more.

If your mind were a library and you attempted to map it all out, one would see that everything is related in some way – intuitively, this is what defines you. If we looked at your brain, we would discover a huge network of experiences, relationships, books read, lessons learned, and people encountered. We would find a system of knowledge rather than random facts. Your likes and dislikes would be reflected in what you do and do not want to do. Everyone is different – nobody is the same. Everyone innovates, everyone has knowledge, and everyone shares information.

Somehow we need to reflect this on our computer readable resume.

The Universal Decimal Classification (UDC) System was built on top of Dewey for precisely this reason, to catalog complex and dynamic knowledge. The UDC system uses symbols to connect and relate the categories.

• Addition (+) allows for a string of subjects to be listed together.

• Forward slash (/) defines a range – or a “system” of subjects matter.

• Colon (:) identifies categories that are related like; sports and medicine, ethics and law; innovation and economics.

• We can even employ Boolean Operations such as IF, AND, OR, NOT statements. For example; we can say Polo IF Horses NOT water OR trade marks

• In a Global Economy, we can employ language and culture assets as well.

Now, we have a system of numbers and symbols represent the knowledge of the person.

For example: {20,12};[302+307], (330):[607+17]+[500/519]

Now we see that a computer language is emerging for human knowledge. This “resume” is for a specialist in Social systems and communities of practice. Knowledgeable in economics related to educational research, ethics, and natural sciences. They also employ statistical analysis in their work and can do it all in either English and Spanish

This is starting to demonstrate several key advantages:

1. It is Infinite and expandable to any field of knowledge
2. Paints a picture of knowledge not simply a list of information about a person.
3. Machine programmable and machine readable.
4. knowledge of several people can be combined to represent the knowledge inventory of a team, group, or company

We are getting closer to the elusive true “Knowledge Asset”. Part 3 will demonstrate how knowledge can be made to look like a buck, walk like a buck, and quack like a buck.