Glossary
| Concepts |
The individual items in a k-base, that represent things such as physical entities, people, tasks, issues, documents, etc.
|
| Expert |
A person with substantial experience and expertise in a particular area, who is often the main source of knowledge for a KA project. Also called ‘domain expert’ or ‘subject matter expert’.
|
| Knowledge Acquisition (KA) |
The activity of capturing, structuring and representing knowledge from any source for the purpose of storing, sharing or implementing the knowledge.
|
| K-base (Knowledge Base) |
A special database that holds information representing the expertise of a particular domain.
|
| K-models (Knowledge models) |
Views of a knowledge base using diagrams and other structured representations, such as trees, maps, matrices and k-pages.
|
| K-page |
A structured page of text, images and hyperlinks that shows what is contained in the k-base about a particular concept. Also called ‘annotation page’.
|
| Ontology |
A structured representation or store of information that describes a body of knowledge and is often encoded in special computer formats (such as OWL).
|
| PCPACK |
A software tool that helps a knowlege engineer to create, edit and publish a k-base.
|
| Relations |
The ways in which pairs of concepts are associated with one another, e.g. 'is a', 'used by', 'followed by'.
|
| Relationship Matrix |
A matrix that shows two sets of concepts related to one another using a specified relation.
|
| Tree |
A diagram that shows a hierarchical arrangement of nodes.
|