KNOWLEDGE BASES


KNOWLEDGE BASES
A knowledge base (or knowledgebase; abbreviated KB, kb or Δ) is a special kind of
database for knowledge management. It provides the means for the computerized
collection, organization, and retrieval of knowledge.
Types:
Knowledge bases are categorized into two major types:
• Machine-readable knowledge bases store knowledge in a computer-readable form,
usually for the purpose of having automated deductive reasoning applied to them.
They contain a set of data, often in the form of rules that describe the knowledge in
a logically consistent manner. Logical operators, such as And (conjunction), Or
(disjunction), material implication and negation may be used to build it up from the
atomic knowledge. Consequently, classical deduction can be used to reason about
the knowledge in the knowledge base.

• Human-readable knowledge bases are designed to allow people to retrieve and use
the knowledge they contain, primarily for training purposes. They are commonly
used to capture explicit knowledge of an organization, including troubleshooting,
articles, white papers, user manuals and others. A primary benefit of such a
knowledge base is that it can help a user to find an existing solution to his or her
current problem (thus avoiding having to 're-invent the wheel').
• The most important aspect of a knowledge base is the quality of information it
contains. The best knowledge bases have carefully written articles that are kept up to
date, an excellent information retrieval system (such as a search engine), and a
carefully designed content format and classification structure.
• A knowledge base may use an ontology to specify its structure (entity types and
relationships) and classification scheme. An ontology, together with a set of
instances of its classes, constitutes a knowledge base.

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