Architecture Repository/Patterns

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Patterns enable us to design for emergence

Status: Draft

Patterns
Patterns enable us to design for emergence: create interrelated capabilities that can become greater than the sum of their parts. We focused on patterns that enable stable, predictable, changeable and encapsulated parts. Patterns that let us design a system by focusing on:


 * the data model (the shape of) "knowledge"
 * the parts that deliver the necessary capabilities (things the system does)
 * the relationship between those parts
 * and the structure of their interaction



The patterns we've explored include:

Leverage points
The scope of modernization -- transforming the the world's largest reference website into the world's largest knowledge system -- is monumental. To understand where to focus our time and attention, we've identified three leverage points."'Folks who do systems analysis have a great belief in “leverage points.” These are places within a complex system where a small shift in one thing can produce big changes in everything.' -- Donella Meadows"However we approach it, the first step is a doozy. There is no iterative path towards transformation. Neither is there a lift-and-shift migration option. We need to find capabilities in the system that we can decouple from the current day-to-day operations. As challenging as leverage points may be to find and to change, they unlock highly-valuable opportunities. While simultaneously laying a strong and cohesive foundation for the future system.

The leverage points explored so far include:

Giving shape and structure to Knowledge
Honestly, we don't know if it's humanly possible to "structure" Wikipedia content sufficiently. the knowledge we want to share with the world isn't made for modern distributions. We must try. Also, knowledge is currently shaped by the context of "web page" and that doesn't fit emerging contexts.

Designing inherent relationships between knowledge parts to create collections
Collections are relationships developed, programmatically or by editors, between pieces of knowledge. The way humans envision and plan these relationships shapes the way the knowledge is developed. The PoV pre-builds the knowledge payload (an answer to the queries) based on the relationships we know are the most valued. How would we expand this over time?

Building decoupled relationships between parts of the system
Rather than building capabilities into the software. This includes changing the choreography of essential activities ... in many ways, the paradigm itself is changing.

Exploring patterns and identifying leverage points helped us prioritize questions that need our attention.