MemeWeb Features

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Here are the main features of MemeWeb.

Branches & Memes

MemeWeb crunches a website’s content to identify important tags. Using different techniques & algorithms, build tags into hierarchical branches and flat Memes. Branches form trees, Memes describe genre.

In this early stage, as part of a client, Memes are used to describe the site, trees, branches, types and even categories. Think of it this way, each tree’s category has its own tree.

These 2 structures are the core pieces of MemeWeb. Classifying narratives, concepts in a website or the entire World-Wide Web.

Tree Management

Legacy trees have 3 tables to support each node of a tree, each node having another node for a parent. Trees are rendered using a recursive algorithm called a Walker.

MemeWeb builds branches of nodes, saving the tree in data form and as HTML. Each node, branch and tree has a separate table of important meta-data. Each tag name, a concept, has a simple ID called a Tid, and each node as a link has a complicated, descriptive id called the Nid. Branches has a Brid & Tree has a Trid

Rendering Trees

Branches are assembled to build a tree, converted to text, sorted and rendered, duplicate links skipped. Each branch you see is a collection of branches, each link a leaf in that branch.

Overall, Trees can be saved as JSON, are portable, flexible, Webworthy and combinable.

Many Trees built on available content

This approach frees us from the need to build Trees of everything, or even Trees of a lot of things. Smaller trees can be employed as you browse & discover content, making trees your guide to knowledge.

The Athena Tree

Athena is my first software generated tree, built from post tags. With multiple variations called Flavors, made from the most significant tags. These trees are based on tag pairs is a prototype & proof of concept.

My next generation Athena trees will be based on tag clusters and Meme clusters. Athena trees will likely be what we use to build out the Search Engine.

ASTRA

Currently, ASTRA is the front-end tool, consuming the HTML generated by the Corpus, Nexus and Lexus trio of scheduled generating scripts. This is what people will use to browse, discover and learn. It stands for the Advanced Semantic Tree Retrieval Agent. It’s our first software Librarian.

It introduces you to the concept of having multiple trees to use as you dig a website’s content. Currently, you select your own tree but in the near future, I intend to make ASTRA smart enough to recommend or select trees for you.

– The Lexus & Lexicon, a quantum of knowledge

Each Athena Flavor or Theme tree has the primary theme for its root. Each root is linked to all the posts for that tree. Each branch is a narrative, each link a portion of that narrative.

The point of using this kind of tree at all is to learn both content and its many facets. Athena is a learning tree, a Lexus. A collection of trees& posts, whether it is a website or millions is a Lexicon.

Not only does MemeWeb classify & organize content according to narrative, it creates modular bundles of knowledge that can be owned, traded, combined, served. A Lexus can be a topic, a course, a Lexicon a curriculum.

At a lower level, as this content is automatically organized, we can employ simple tests of what you learned for Certifications. Degrees will likely require a higher technology involving AI to judge your mastery of the material. And Authorship, adding knowledge can be judged to award you as a source of knowledge.

We have the makings of an Education System and University. Free for all.

Discovery

Discovery is the tentative name for a Search Space, a built-up version of the client I described above. At first, this will be for WordPress websites, but it can work for any content platform with clients we will need to build. It will be similar to ASTRA, with a set of Trees you can choose from, but adding a section to display websites as well as trees and results.

This will be where we begin to establish an infrastructure, at first small, and later very large. Including a Registry, telemetry, tracking data, contexts, branches and memes. Later on, it will build a BlockChain. THis will be a Hive and a SwarnM. This will also involve a Digital Currency for royalty, revenue, expenses and sale of various licenses to use telemetry data.

Soul Book

This is another tentative name and concept. As you search and discover on any client site or the Discovery Search Engine, every time you read a post, its node and branch information is added to your Soul Book, your own personal Lexicon of knowledge, browsable and searchable.

Economy

Building up this technology to categorize billions of website content and evolving the technology opens up many avenues of revenue, donation & profit.

It would take many hands to build, many hands to maintain and run, from the most complex architecture & coding, to Authority, to administration, to content harvesting, and creation. This could result in a world-wide economy built on Digital Currency & Blockchain. Available to all no matter how repressive their Gov’t & gig work.

It can also generate wealth, and it is up to us to decide on the balance of spreading the wealth & concentrating that wealth. My proposal is to favor spreading the wealth but still allowing for concentration of it.

The Human Knowledge, Terra Cognos

The Greek term is Terra Cognos. If this is a bit fancy, pulled from Greek Mythology, it is appropriate. This database of human knowledge can be packaged and spread among a Blockchain. When our descendants go to the stars, they can take this knowledge with them. Even better, use of Quantum Entanglement can create a Galaxy-wide network of Lexicons, each net of Blockchains propagating & updating each other in real time.

Even better, I believe there will be opportunity for us to build an immersive, mass role-playing game where by learning and showing mastery of a Lexicon, you get spells and weapons to fight other players with, or some for of Linden.