A relational map visually presents connections among entities within an ecosystem, such as organizations and initiatives. Relational maps help users understand the overall structure or domain of an area of interest.

In 2024, the Learn-& Work Ecosystem Library initiated relational maps to complement narrative descriptions of key searchable artifacts.  See examples in prototype maps. Maps are developed by integrating manual data tagging with inferred AI-driven relations. This work includes a unique collaboration with ChatGPT’s API under an open licensing agreement that allows the Library to train and continuously refine the AI model.

Related Terms: 

• Concept Map: Diagram that shows the relationships among ideas to help users understand how ideas are connected. Concept maps are generally composed of two elements: concepts (usually represented by circles, ovals, or boxes and are called nodes); and relationships (usually represented by arrows that connect the concepts; the arrows often include a connecting word or verb and these arrows are called cross-links.  There are four types of common concept maps: (1) spider maps, (2) flowcharts, (2) hierarchy maps, and (3) system maps.
• Mind Map: Diagram that shows the relationships among ideas to help users better understand, remember, and communicate information. Mind maps generally organize information into a hierarchy, showing relationships among pieces of the whole. A central concept or idea is usually placed in the middle of a spider diagram, with associated concepts/ideas that are connected branching out from the center (key words are called nodes).