- Knowledge Acquisition is the transformation of knowledge from the forms in which it exists into forms that can be used in a knowledge based system
- The primary goal discover, develop and implement efficient, effective method of knowledge acquisition
- It is a process of adding new knowledge to a knowledge base refining, improving previously acquire knowledge
- Acquisition is usually associated with some definite purpose such as expanding the capabilities of system, improving or enhancing the performance of some specific tasks
- Acquired knowledge consist of facts, rules, concept, procedure, formulas, relationship, stats, plans,heuristic or any relevant information
- The sources can be anyone of the following like-that , report, electronic document,database,newspaper,news channel,soft copy of document etc
Three model of knowledge acquisition -
- Handcrafting - means code knowledge is converted into program directly
- Knowledge Engineering - means working with expert system to organise knowledge in a suitable form for an expert system to use.
- Machine Learning - means to extract the knowledge from training examples
Challenges/ Issues in knowledge Acquisition
- most knowledge is in the heads of experts
- experts have vast amount of knowledge
- experts are very busy and valuable people
- each expert doesn't know everything
- knowledge is short lived
- difference in expert opinions