Knowledge acquisition is the
process used to describe the rules and ideologies required for a
knowledge-based system. It is the process of extracting knowledge from experts
and structuring this knowledge into a readable form.
Some techniques used in the process
of extracting information are Interviewing, Observations, Protocol Analysis,
and Brainstorming.
It is ideally driven by strategies − for example, an organization decides what knowledge is needed, what it has, and then fills in the gap by developing new knowledge or acquiring it. Knowledge acquisition has several applications that we will be discussing in this chapter.
Converting unspoken knowledge
to a categorical form by way of codifying, and to acquire this tacit knowledge
as explicit meta-knowledge (knowledge about knowledge).
This is basically a directory
which knows what and how to contact them. The aim of the codification is to
make it easy to organize, locate, share, store, and use the knowledge.
Common material including
codified knowledge are manuals, spreadsheets, decision support systems and
procedures.
Anyhow, the codification
process is generally expensive and it is difficult to code for universal
understanding too.
Knowledge creation is all about
continuous transfer, combination, and conversion of the different types of
knowledge, as users practice, interact, and learn.
Content creation and management tools are essential to structure and organize knowledge content for each retrieval and maintenance. It consists of the following tools −
● Authoring Tools
● Annotation Tools
● Data Mining and Knowledge Discovery
● Templates
● Blogs
Authoring tools include the
software that allow users to create web page or multimedia applications. These
are tools by which various media elements are brought together to structure and
flow.
Authoring tools align with the
aim of capturing the author's tacit knowledge and helping structure that
knowledge into an explicit form.
Annotation tools help in
addition of explanatory comments to a document after it has been created. The
comments can be public as well as private. Tools like track changes in MS Word
is an example of annotation tools. This tool also helps with the goal of capturing
tacit knowledge by allowing authors to connect their expertise to a certain
document.
Data mining pioneers new or
hidden patterns in data that resides in multiple databases. It includes
statistical analysis to discover relations, correlation, and market related
analysis.
Various analysis tools are
approached in data mining such as statistical analysis tools e.g. SAS, data
mining suites, and data visualization tools.
This tool accomplishes the
goal of creating new knowledge by being able to analyze existing
data and making something useful out of it. It also helps in predicting future
occurrence and forecast expected outcomes.
It includes designing or
patterning of an item that acts as a guide for designing or constructing
similar items. This tool is helpful to organize knowledge in a systematic
manner, by following an established design.
These are webpages that
typically focus on a specific subject. They can be like personal pages that are
much like personal diaries which are periodically updated and accessible
publicly. This web tool fits with the aim to elicit knowledge, by authors being
able to express their unique ideas and opinions.
It includes groupware and
collaborative tools. These tools acts as enablers of knowledge flow and
knowledge-sharing activities among personnel.
Groupware invokes class of
software (programs) that allows to work together while located remotely from
each other.
Here, collaboration is mainly referred as groupware, or work group productivity software. For example − LAN (Local Area Network)
Typically, a groupware supports the following operations −
● Password Protection of document
● Schedule meeting and allocate resources
● File distribution
● Electronic newsletter
● Email (Electronic mail)
● Group Calendars
● Collaborative writing system
● Video Communication System
● Chat Systems
● Wikis