4.2.2. Purpose of the Data Context Section of the DRM Abstract Model:    (3X35)

The Data Context section of the DRM abstract model exists to identify the structures [15] used for Data Context artifacts.    (3YPN)

Context often takes the form of a set of terms, i.e. words or phrases, that are themselves organized in lists, hierarchies, or trees; they may be referred to as “context items”. Collectively, Data Context can be also be called “categorization” or “classification”. In this case the groupings of the context items can be called “categorization schemes” or “classification schemes.” More complex Data Context artifacts may also be generated, e.g. networks of classification terms or schemes.    (3YPO)

Classification schemes can include simple lists of terms (or terms and phrases) that are arranged using some form of relationship, such as    (3X36)

Many classification schemes are formally created and administered by organizations or consortiums using a set of rules describing how concepts are named and designated as terms, related artifacts designed and how they can be used. In some applications of context an entity may be related to one or more terms in a classification scheme in a formal manner. In other applications, these associations are more informal, and a relationship may be only implied or exist just in the form of a co-occurrence. One example of a more complex scheme is a high-level directory that brings together important terms from multiple classification schemes; it may also show their relationships.    (3X3A)

[15] The term "structure" is used here in the formal Computer Science sense of data structure. Examples are networks, trees and hierarchies. The choice of a specific data structure impacts the type of relationships that can be represented.    (3YPP)