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Supervised by, Mr. Ashraf Yaseen

Knowledge Acquisitioning. Supervised by, Mr. Ashraf Yaseen. Overview…. Brief Introduction about Knowledge Acquisition. How it can be achieved? . KA Stages. Model. Problems that are encountered KADS. KADS Principles. References. Brief Introduction. Definition:

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Supervised by, Mr. Ashraf Yaseen

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  1. Knowledge Acquisitioning Supervised by,Mr. Ashraf Yaseen

  2. Overview…. • Brief Introduction about Knowledge Acquisition. • How it can be achieved?. • KA Stages. • Model. • Problems that are encountered • KADS. • KADS Principles. • References.

  3. Brief Introduction Definition: • Knowledge Acquisition (KA) is the transfer and transformation of potential problem solving expertise from some knowledge source to a program. • Knowledge Acquisition is a large process itself and is composed of five stages which will be explained later.

  4. How it can be achieved??? • Could be achieved by a computer program that creates associations using a large body of case data. • Knowledge Elicitation: Series of interviews between the domain expert and the knowledge engineer who then writes a computer program representing the knowledge. • Interaction between a domain expert and a computer program

  5. KA Stages… • The five stages in the KNOWLEDGE ACQUISITION Process: 1) Identification- Identifies the problem characteristics 2) Conceptualization - Finds Concepts to represent the knowledge 3) Formalization - Designs the structure to organize the knowledge 4) Implementation - Formulates rules, frames etc. to represent the knowledge 5) Testing - Validates the rules that organize the knowledge

  6. KA Stages… Reformulation Redesign Refinements Identification Conceptualization Testing Formalization Implementation

  7. Model… • After the knowledge engineer gets the Information from the expert, this data is used to construct an appropriate model. • KADS is an example of a model contains four layers (Strategy, Task, Inference, Domain). • Other examples are task based conceptual model like (OPAL system), Metalevel acquisition tool like (DOTS system), and other models..

  8. Problems.. • There may be some problems with transferring knowledge in the process of knowledge acquisition like: • Experts expressing his/her knowledge. (the expert uses a process to solve problems & this process is internal) 2) Transferring the Knowledge to a machine. (in an organized way, In order for the machine to understand or make any sense of the knowledge it has to be in a more detailed/lower level than a human would use). 3) The number of participants involved in the transfer. (may cause problems between participants.) 4) Extracting not only the knowledge but its actual structure too.

  9. KADS • KADS is framework for a modeling approach of knowledge engineering. • Knowledge-Based systems are not just containers of knowledge • They are operational model that exhibits some desired behavior and impacts real-world phenomena • Knowledge elicitation is not just eliciting domain knowledge but also interpreting this data with respect of some conceptual framework, and formalize it in such a way that the program can actually use the knowledge

  10. KADS Principles • Introduction of multiple models to cope with knowledge engineering complexity • The KADS four-layer framework for modeling the required expertise. • The reusability of generic model components. • The process of differentiating simple models into more complex ones. • The importance of structure-perceiving transformation of models of expertise into design and implementation.

  11. Continue…... • The motivation of KADS is to manage complexity. • The first principle provides multiple models to help knowledge engineering in facing some issues: • Defining the problem that the expert system is meant to solve. • Defining the function of the expert system • Defining the tasks that must be performed to fulfill the expert system’s function

  12. References • “Introduction to Expert System”, 3rd edition, Peter Jackson. • http://www.epistemics.co.uk/Notes/63-0-0.htm • http://www.scism.sbu.ac.uk/inmandw/review/knowacq/review/rev11656.html

  13. Thank You For Listening

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