Category-based Functional Information Modeling for eChronicles

In this paper, a category-based information model is introduced for eChronicles. It features the use of an e-node to represent the identity of information and uses categorized relationships to represent the relations of grouped information sets while preserving their internal data set structures. Our approach separates a data set and its symbolic objects by introducing an e-node between them and merging those pairs through categorical transformation. Our model also supports a functional system representation using functors and natural transformation in category theory to handle complex information processing and to handle complex information processing and the relationships between functions in a canonical way. We demonstrate our theory by converting scattered heterogeneous information into structured data usable by eChronicles. In this paper our focus is on presenting the theoretical framework that we are developing to represent heterogeneous data in way that allows preservation of essential characteristics of data and the processes used to extract symbols from the data.