Please enable JavaScript.
Coggle requires JavaScript to display documents.
KADS - Knowledge Acquisition and Documentation Structuring (KADS: Planning…
KADS - Knowledge Acquisition and Documentation Structuring
A structured way of developing a knowledge-based system / expert system
It was developed at the University of Amsterdam as an alternative to an evolutionary approach and is now accepted as the European standard for knowledge based systems
Its components are
Methodology for managing knowledge engineering projects
Methodology for performing knowledge elicitation
Why KADS?
A study carried out in 1989 showed main reason why expert systems not being used was an insufficiency of methods for development, especially in the construction of knowledge bases e.g. the transfer of expertise
Provides 2 types of support for the production of KBs in an industrial approach
Enabling a response to be made to technical and economic constraints (control production process, quality assurance system)
Set of models which structure the production of system, especially the tasks of analysis and transformation of expert knowledge into a form exploitable by the machine
Advantages of KADS
Imposing a structure on the knowledge elicitation task in this way should ensure that
The expert system that is subsequently built contains knowledge which has a suitable degree of depth
The knowledge elicitation task is shorter and of predictable length
The Domain Expert's knowledge is stored in its final form as a set of intermediate representations (knowledge engineer can revise system or build new system from this stored knowledge, rather than having to work with the original DE
KADS: Planning
Feasibility assessment
Resource management
Task phasing
Schedules
High-level requirements
Preliminary functional layout
Knowledge Definition
Knowledge source identification and selection
Source identification
Source importance
Source Availability
Source selection
Knowledge acquisition, analysis and extraction
Acquisition strategy
Knowledge element identification
Knowledge classification system
Detailed functional layout
Preliminary control flow
Preliminary user's manual
Requirements specifications
Knowledge baseline
Knowledge definition
Knowledge representation
Detailed control structure
Internal fact structure
Preliminary user interface
Initial test plan
Detailed design
Design structure
Implementation strategy
Detailed user interface
Design specs and report
Detailed test plan
KADS: Code & Check Out
Coding
Tests
Source listings
User manuals
Installation and operations guide
System description document
KADS: Knowledge Verification & Validation
Knowledge Verification
Formal tests: Test procedures, test reports
Test analysis: Results evaluation, recommendations
Knowledge Evaluation
Results evaluation - summarized version of the activity from the previous stages
Recommendations
Validation - System conforms to user requirements and user needs
Interim or final report