![[photo-1616529927764-173a543493ee.jpg]] Photo by [Christian Kapeller](https://unsplash.com/@ptrtng?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) on [Unsplash](https://unsplash.com/@ptrtng?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) How to methodically build ecosystems? Where to start? Can we repeat the process and change entities? Can we apply designed model to different environments? Is there a simple way to visualize complex relations between entities? Can we make this architecture open to public and discuss it? Welcome, to one of the most important articles (as part of the SPHERES movement) focused on #MetaX methodology guiding you **from idea to repeatable code**. In our last post "[[MetaX Semantic Model]]" dedicated to MetaX, we described MetaX framework and semantic model with promise to extend description beyond #MetaSphere categorization. We will follow the path of entity design to showcase ecosystem genesis with 6 stages of creation. ## MetaX methodology First, take a look at the diagram below. I know, it looks complicated and overwhelming. We will follow the path of creation in detail - stage by stage, to explain what is important and why we think it makes sense in the big picture of ecosystem creation. ![[Pasted image 20230708133709.png|Figure 1: MetaX methodology]] Second, ideally you would use MetaX platform (as a service) to provide you all functionality described below so you can focus on ideation of the ecosystem, simulations, interactions and visualizations generated for target audience. Third, it is likely that all stages below are orchestrated by multiple roles (we will publish a separate article about ecosystem architecture roles) such as Ontologist (semantic manager), Ecosystem, Architect, Strategist and Developer. **Let's start!** The diagram (above) is divided into sequence of stages (verticals) with 3 horizontal layers driven by MetaClass composition. To refresh our memory, here is the MetaClass position with the MetaX framework (below). ![[Pasted image 20230708133743.png|Figure 2: MetaX framework]] We have three essential MetaClass Layers to successfully build minimal ecosystem: "Entity" + "Connection " Semantics". ## 1.The Class (selected class representation) Ecosystem Class model might have a different representation in dependency of industry purpose, but there are always a minimum class requirements - Entity #MetaClass: Defines minimal requirements for Entity structure - Semantic MetaClass: Defines semantically based attributes for successful identification - Connection MetaClass: Adds ecosystem related attributes and patterns ![[Pasted image 20230708133822.png|Figure 3: The Class]] ## 2.Entity Definition (ecosystem example) Depth of detail for selected ecosystem depends on the ability to provide sufficient data within the time segment. There might be many iterations to gradually add more details during the ecosystem lifetime. - Entity MetaClass: "Computer" is the entity, "Memory" is the attribute - Semantic MetaClass: Identified within selected semantic ontology under semantic ID "123456" with parent class "234234" to assign context category - Connection MetaClass: Defined ecosystem environment with selected entities ![[Pasted image 20230708133932.png|Figure 4: Entity definition]] ## 3.Semantic Visualization (Blueprint) Serves as a Blueprint and a non-technical visualization for all target audiences. Interaction with blueprints could be experienced via different tools and devices, however it is critical to enable interaction between target audience and blueprint components (as an open diagram format) - not just a simple animated visualization. - Entity MetaClass: Visualization of entity and attribute - Analytic role lens - Semantic MetaClass: Semantic visualization - #Ontologist role lens - Connection MetaClass: Conceptual Ecosystem visualization (The blueprint) - Any role (i.e. business, end user, CxO, manager) ![[Pasted image 20230708134004.png|Figure 5: Semantic Visualization]] ## 4.Ecosystem Architecture (Solution Description) Detail oriented interactive architecture design - this is a stage where ecosystem architect interacts with the model, simulates functionally and behavior and integrates it with other systems within the ecosystem. Lower levels of this model are shifting responsibility to enterprise architects, solution architects, developers, integrators and many more IT roles as we know them today. ![[Pasted image 20230708134627.png|Figure 6: Solution Description]] ## 5.Analytical Notation (Blueprint Code) Holistically simplified notation to distribute ecosystem blueprint in for simplified visualizations and dependency discoveries. Syntax and Notation (examples below) relates to each other - capturing only details needed for selected purposes. Distributable blueprints are safe to share - they don't contain entity details but shows specific abstracts and their dependencies. ![[Pasted image 20230708134317.png|Figure 7: Analytical Notation]] ## 6.Native Notation (Execution code) Native notation is interpreter dependent - example below shows XML based script (you will need XML interpreter), but this could as well be json, yaml or any other generated script from MetaX (we can imagine pre-compiled or directly executable programs as well). We will discuss execution of these scripts at the articles focused on ecosystem #implementation. ![[Pasted image 20230708134355.png|Figure 8: Native Notation]] --- What is next? Get ready for "x2x" model, classification of Ecosystem Patterns, infusion of InfoSymbolism principles into the MetaX, Implementation of MetaX repository, Ecosystem Execution Structures, Agents, phases and many more. ## References [1] Wikipedia; Definitions ## Related to [[MetaX Models - From vision to execution]]