Friday, April 14, 2017
Components of Knowledge Based Management System
The components of Knowledge Base System.
- Knowledge Base (Facts & rules)
- Inference Engine
- User Interface
- Hadoop
- Expert System
1. knowledge domain (Facts)
The knowledge domain may be a assortment of rules, organized facts or different data structures keep by the human knowledgeable in knowledge domain. Rules ar usually structured as If/Then statements of the form:
1. IF
The antecedent is that the condition that has to be happy. once the antecedent is happy, the rule is triggered and is claimed to "fire". the ensuing is that the action that's performed once the rule fires.
Example: after we search any product from amazon web site for the primary time it shows all potential
product associated with our question then It stores what we have a tendency to search and the way we have a tendency to search data regarding product and after we open amazon web site next time it mechanically shows product associated with our interest while not typewriting any question. this can be as a result of they need store and analyze facts regarding our search interest.
2. illation Engine
An illation engine tries to derive answers from a knowledge domain. it's the brain of the information primarily based Management System that gives a technique for reasoning regarding the data within the knowledge domain, and for formulating conclusions. illation Engine offer correct and unflawed resolution on the subsequent basis.
3. Applies rules repeatedly to the facts, that ar obtained from earlier rule application. Adds new information into the knowledge domain if needed. Resolves rules conflict once multiple rules ar applicable to a specific case.To suggest an answer, the illation Engine uses the subsequent ways.
4. Forward Chaining
it's a method of a information primarily based system to answer the question, "What will happen next".
It considers all the facts and rules, and types them before final to an answer. This strategy is followed for performing on conclusion, result, or effect.
5. Backward Chaining
With this strategy, associate degree knowledgeable system finds out the solution to the question, “Why this happened?” On the premise of what has already happened, the illation Engine tries to search out out that conditions might have happened within the past for this result. This strategy is followed for looking for cause or reason. as an example, designation of blood cancer in humans.
6.User Interface
7. Hadoop
it's fifth generation langauge employed in knowlegde primarily based management system.
5. knowledgeable System
knowledgeable system may be a specific class of data primarily based system employed in computer science
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