# Modeling and Resolving Uncertainty in DIKWP Model
## 1 Introduction
The informational semantics of the information concept refer to the semantic association in the Semantic Space between DIKWP cognitive objects in a cognitive agent's space and previously recognized DIKWP cognitive objects, facilitated by the cognitive agent's intentional concepts or semantic intents. This process forms either a recognition of sameness (corresponding to data semantics) or a recognition of difference, through probabilistic confirmation of \"different\" semantics or logical judgment, forming informational semantics, or generating new semantic associations (\"new\" representing a type of \"different\" semantics).In processing information concepts or informational semantics, cognitive processing identifies differences between inputted data, information, knowledge, wisdom, or intentions, and the recognized DIKWP cognitive objects, corresponding to various semantics and classifying this information. For example, in the Cognitive Space of a parking lot, while all cars may be recognized under the concept of \"car\", each car's parking spot, time parked, wear level, owner, functionality, payment records, and experiences represent semantic differences driven by different cognitive intents in the Semantic Space, eventually correlating to different informational semantics. These different semantics associated with informational objects often exist in the cognitive agent's cognition, frequently unexpressed explicitly, such as a depression patient using the concept of \"low spirits\" to express an increase in the negative degree of their current emotional state compared to past emotions within their Cognitive Space. The cognitive agent selects the concept of \"low spirits\" in their Concept Space to reflect the targeted informational semantics intended to express their cognitive state. However, the informational semantics interpretation of \"low spirits\" in the communicative partner's Cognitive Space may not align with the cognitive agent's informational semantics, or in other words, there exists a difference in semantics, thus failing to convey the intended informational semantics
objectively to the communicative partner, making this informational semantics a subjective cognitive informational semantics. * **Mathematical representation of information semantic processing:** Information semantics in the DIKWP model corresponds to data semantics, information semantics, knowledge semantics, wisdom semantics, and purpose semantics, generating new associated semantics driven by specific purpose. In the Semantic Space, information semantics \(I\) map a set of inputs \(X\) to a new semantic association \(Y\): \[I:X\to Y\] (3) where \(X\) represents a collection or combination of data semantics, information semantics, knowledge semantics, wisdom semantics, and purpose semantics (i.e., DIKWP content semantics), and \(Y\) represents the newly generated DIKWP content semantic associations. This mapping emphasizes the dynamic and constructive nature of the information semantic generation process. In the DIKWP model, information semantics corresponds to the expression of various different semantics in cognition. Through the cognitive purpose of the cognitive subject, information semantics generates new semantic associations by linking the semantics corresponding to data, information, knowledge, wisdom, and purpose with the existing cognitive objects of the cognitive subject. In the Cognitive Space, this process includes not only the resematization and transformation of known DIKWP content (involving semantic connectivity that forms what is called cognitive understanding) but also involves the dynamic process of generating new DIKWP cognitive semantics and continually forming cognitive understanding through such recombination and transformation.