Knowledge Acquisition/Engineering related concepts

As understood by Philippe A. MARTIN




Knowledge acquisition/engineering (KA/KE)
Goal: Building a knowledge-based system (KBS)
Method:

Prototype-based knowledge acquisition/engineering
Goal: Building a knowledge-based system (KBS)
Subtask: (Adapted from: Heijst & al., 1996)
Method:

Model-based knowledge acquisition/engineering
Goal: Building a knowledge-based system (KBS)
Subtask: (Adapted from: Heijst & al., 1996)

 [Sources_of_expertise]<-(I)<-[Data_collection]->(O)->[Expertise_data]
    <-(I)<-[Knowledge_modelling]- {(Ressource)->[Generic_models: gm {*}];
                                   (O)->[Conceptual_model:*cm]->(Update_generic_models)->[*gm];
                                  }
 [*cm]->(Selection_of_the_implementation_method)->[Design_model]
    <-(I)<-[Knowledge_operationalisation]->(O)->[KBS]
    <-(I)<-[Knowledge_validation]->(O)->[*cm]

Knowledge modelling (Adapted from: Heijst & al., 1996)
Subtask:
Output:
Conceptual model
Part:
  • Task model (Part: Application task ontology, Application task knowledge)
  • Domain model (Part: Application domain ontology, Application domain knowledge)
Ressource:
Generic models/ontology
Part: Generic task models/ontology, Generic domain models/ontology

Building the application domain knowledge
Subtask:

Knowledge base validation
Subtask:

Knowledge implementation validation
Subtask: (Adapted from: Heijst & al., 1996)