On the Decidability and Complexity of Identity Knowledge Representation
Identity knowledge is the knowledge that relates to various aspects of the identification of real-world objects. It can be acquired through the process of identifying objects from a knowledge management point of view. In this paper, the authors present a simple yet expressive framework for representing identity knowledge. Knowledge patterns, as the building blocks of the framework, have the capability of capturing identity knowledge at an arbitrary level of abstraction. However, the combined use of pattern formula and pattern relation in knowledge patterns may yield disjunction and a restricted form of negation. They thus investigate the containment problem of knowledge patterns to find a decision procedure for containment and equivalence between knowledge patterns.