Knowledge Base System Using Meaningless Identifiers

The patent segments the representation of entities and attributes into two independent parts: meaningless identifiers (such as numbers or symbols) and meaningful descriptors (words in language). The identifier serves as the core reference that can exist independently of any language, while the descriptor provides the human-readable meaning. This segmentation allows the system to maintain precision through logical operations on identifiers while achieving versatility by separating language-dependent meaning from language-independent reference.

The patent introduces a hierarchical dimension to the knowledge base structure by organizing relationships into multiple levels. Entities are represented at the first level with unique identifiers, attributes are represented at the second level, and relationships between entities are represented at the third level. This dimensional organization allows the system to systematically store and retrieve information about relationships of three or more levels without increasing the basic storage unit complexity, as each level uses the same identifier-based representation mechanism.

The patent introduces meaningless identifiers as intermediary elements between the raw data and the meaningful descriptors. These identifiers serve as the core knowledge units that can be efficiently manipulated by computers through logical operations, while the language-based descriptors provide the human-readable meaning. This intermediary layer enables both efficient machine processing of knowledge and effective human utilization of recorded information, resolving the contradiction between storage capacity and knowledge utilization efficiency.