Data Dictionary

Daily use

Field Name	Data Type	Field Length	Description	Key	Sample
CustomerName	String	15	Name of Customer/Supplier		Thompson, Bob
CustomerPhone	String	15	Phone of Customer/Supplier		(509) 555-1298
CustomerAddress	String	45	Address of Customer/Supplier		1698 Mellowbrook Road
CustomerState	String	15	State of Customer/Supplier		WA
CustomerZip	Int	9	Zip of Customer/Supplier		980045890
CustomerInventory	Int	15	Customer Inventory in Queue		16
CustomerID	Int	10	Customer Primary Key	PK	948920
ProductName	String	15	Product Name		Hammer
ProductCategory	String	15	Category of Product		Tools
ProductID	Int	30	Primary Key for Product	FK	5432
ProductInventory	Int	6	Product Inventory in Warehouse		32
CustomerAcct	Int	15	Customer Account Number	FK	84392795
PurchaseDate	Datetime	8	Date of Customer Purchase	FK	12121986
ShipDate	Datetime	8	Date of Customer Product Ship	FK	12121986

Ontologies in QualiWare

This page is intended to help users model knowledge using the QualiWare GOWL implementation delivered in release 10.8 of QualiWare.

Clustering provides users with a new way of interacting with content in their repository. It provides an enhanced analysis capability directly from the 3D Visualizer by logically grouping objects based on their relationships, concepts, and definitions. Filters can be applied to the clusters through the table-based view using existing functionality to focus analysis efforts (for example only clustering objects that are related to a risk with a high impact). The number of clusters can also be defined by the user to provide a broader or more concise result.

EA3 artifact D-9: The Data Dictionary The Data Di...

Data Dictionary

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Ontologies in QualiWare

Clustering

Data Dictionary

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