The current taxonomy architecture is evolving beyond traditional WordPress categorization and toward a semantic knowledge system. Existing structures such as Topics, Themes, Concepts, Chapters, Fragments, and Portals are beginning to overlap in responsibility, creating duplication, inconsistent relationships, and limitations in rendering flexibility. This refactor will focus on separating content storage, semantic relationships, compositions, and presentation layers into distinct systems. Rather than relying heavily on manual “related content” fields, relationships should increasingly emerge automatically through shared semantic tagging, density analysis, co-occurrence, and derived relevance scoring.
A major goal of this project is transforming portal pages from static templates into dynamic semantic renderers. Portals should become flexible query-driven environments capable of presenting the same underlying data through multiple rendering modes such as grid, list, immersive text stream, timeline, cluster map, research mode, and narrative composition mode. This introduces a separation between content and presentation, allowing both administrators and visitors to explore the archive through different cognitive and navigational styles. The system should eventually support adaptive rendering, semantic aggregation, automated relationship discovery, and graph-oriented exploration across all CPTs and taxonomies.
The restructuring process should also evaluate the long-term role of manual relationship systems such as “related concepts” fields. Many of these relationships may be better represented through shared Topics, Themes, or future universal semantic taxonomies that allow concepts to emerge naturally from contextual overlap rather than manual curation alone. Chapters and Fragments should also be reconsidered as compositional containers that derive meaning from their contents rather than requiring redundant direct taxonomy assignments. Overall, this project represents a foundational shift from a page-centric CMS model toward a semantic experience architecture built around discovery, interpretation, interconnected meaning, and dynamic hypertext navigation.
