Knowledge acquisition is the process of defining rules and ontologies for a knowledge-based system. It involves using natural language parsing and generation to facilitate acquiring knowledge from experts. The term was first used in the context of developing expert systems. There are different types of knowledge including declarative knowledge about facts and concepts, procedural knowledge about how to perform tasks, meta knowledge about other types of knowledge, heuristic knowledge representing experts' rules of thumb, and structural knowledge describing relationships between concepts.

1. Knowledge Acquisition
Prof. Neeraj Bhargava
Kapil Chauhan
Department of Computer Science
School of Engineering & Systems Sciences
MDS University, Ajmer

2. KNOWLEDGE ACQUISITION
 Introduction:-knowledge acquisition is the process used to define the
rules and ontologies for a knowledge based system.
 One approach to knowledge acquisition investigated was to use natural
language parsing and generation to facilitate knowledge acquisition.
 The phrase was first used in conjunction with expert system to describe
the initial tasks association with developing an expert system.

3. KNOWLEDGE
 Definition:-knowledge is awareness or familiarity gained by
experiences of facts , data , and situation.
 Humans are best at understanding , reasoning and interpreting
knowledge.
 Human knows things , which is knowledge and as per their
knowledge they perform various actions in the real world.

5. TYPES OF KNOWLEDGE
 Declarative knowledge
 Procedural knowledge
 Meta knowledge
 Heuristic knowledge
 Structural knowledge

6. DECLARATIVE KNOWLEDGE
 Declarative knowledge is to know about something
 It includes concept , facts ,and object
 It is also called descriptive knowledge and expressed in declarative
sentences
 It is simpler than procedural language

7. PROCEDURAL KNOWLEDGE
 It is also know as imperative knowledge
 Procedural knowledge is a type of knowledge which is responsible
for knowing how to do something
 It can be directly applied to any task
 It includes rules , strategies , procedural , agendas etc.
 Procedural knowledge depends on the task on which it can be
applied

8. META KNOWLEDGE
 Meta knowledge :- Meta knowledge is a knowledge about a presented
knowledge. Meta knowledge is a fundamental conceptual instruction in
such research and scientific domains as knowledge engineering,
knowledge management. Knowledge about the other types of knowledge
is called meta knowledge

9. HEURISTIC KNOWLEDGE
 Heuristic knowledge is representing knowledge of some expert in a
filed or subject.
 Heuristic knowledge is rules of thumb based on previous
experiences awareness of approaches and which are good to work
but not guaranted.

10. STRUCTURAL KNOWLEDGE
 Structural knowledge is basic knowledge to problem solving.
 It describes relationships between various concepts such as kind of
part of and grouping of something.
 It describes the relationship that exists between concepts or
objects.

11. Assignment
 Explain knowledge acquisition in artificial intelligence and also discuss
the types of knowledge.