Talk:KOS Development
This is the KOS Development taxon header and menu template page (for template transclusion) page —formalizing a chain of page categories
[[Category:mathematic]]
wiki stuff
The Geometry wiki category (of article page category tags) is a branch in a category taxonomy.
Example category taxonomy branch
wiki-reference-mathematic-geometry-torus-torus_knot
This groupKOS Developer share-point wiki uses a category-tagging convention of tagging any of the articles/file-pages with only one category-tag form a category-taxonomy, as the parent-category for the page/file.
Uploaded files (PDF, zip, pov, etc) on mediawiki each have a wiki page, which page each provides editable wiki text with the file links/images to access the literal file. Taxonomy category tags in the file page wiki-text work the same way for wiki page articles.
This scheme depends on
- Adding a page category-tag in the wiki-text (during a page edit) for a parent category, placing the page in the taxonomy.
- Adding a page parent-category taxonomy is constructed by making each component category page a parent category by adding a category-tag in each category page for each respective component pages of a taxonomy of category-pages. This creates an information taxonomy of linked category pages in parent-child linking.
This scheme affords navigation of article pages/files by the category tags listed at the bottom of each page. This is a function of mediawiki, to display all category-tags edited into each page at the bottom of the web page.
Manual page links can be edited into wiki-text to create page header menus and such.
The top information category at groupKOS/Dev is 'wiki'.
Each branch of category components, linked in a category-parent category chain, is formalized as a wiki template, used by transcluding the template.
The Taxon template ensures unique taxonomy branches, and ensures each page given a header or menu template formally includes the page in a formal information taxonomy.
Each category taxonomy 'branch' to a source article or file is termed a 'taxon.'
A Knowledge Operating System (KOS, as in groupKOS.com can be formalized as methods applied to a database of taxons, creating an information system taxonomy as the working memory reference to ongoing language models that are evolving more-better methods to apply over the taxonomy.
Let's see how well the crystallized world corpus (ChatGPT 4.0 w/browse) will generate meaningful text...
- ChatGPT
The Geometry wiki category in a category taxonomy, like the one used in groupKOS Developer share-point wiki, is an effective method for organizing and navigating information. This system relies on a structured approach where each article or file is tagged with a single category tag from a category taxonomy, such as wiki-reference-mathematic-geometry-torus-torus_knot. These tags act as a parent category for the page or file.
Key aspects of this system include:
Page Category-Tagging: During page editing, adding a category tag in the wiki-text assigns the page to a specific parent category in the taxonomy. Building Parent-Category Taxonomy: This is achieved by making each component category page a parent for the respective component pages within a taxonomy of category pages. This process establishes a network of linked category pages in a parent-child relationship. This structure allows for easy navigation through category tags listed at the bottom of each wiki page, a feature of the mediawiki software. Additionally, manual links can be edited into the wiki-text to create header menus and other navigational aids. At the top level, the primary information category at groupKOS/Dev is 'wiki'. Each branch of category components, linked through a parent category chain, is formalized as a wiki template. This template, known as the Taxon template, ensures unique taxonomy branches and formal inclusion of each page in the information taxonomy through header or menu templates.
In this context, a 'taxon' refers to each category taxonomy branch leading to a source article or file. Applying this system to a Knowledge Operating System (KOS), like the one found at groupKOS.com, allows for the development of a comprehensive information system taxonomy. This system serves as a working memory reference, facilitating the evolution of language models and methods applied over the taxonomy.
Your inquiry about the effectiveness of this model in generating meaningful text highlights the importance of structured information organization in enhancing the capabilities of language models like ChatGPT.
Oh! I goofed up! I'm just roughing out these ideas to implement on my personal, private wiki on the open web as a share-point of my life-interest while retired. Let's work out a resolute language model of this project first. Each page in a taxonomy needs two links edited into any page within the taxonomy, plus the transclusion of a wiki template that formalizes the category tags used anywhere as one template for them all. The two links are 1) a pages member category, and 2) a pages parent category, added in the wiki text. Can you re-write my notes into proper research notes/activities to justify a whitepaper on personal ontology implementations using a mediawiki web app?
- ChatGPT
Certainly! To craft a whitepaper on implementing personal ontology using a MediaWiki application, your notes can be structured into clear research activities and justifications. Here's how they can be reorganized:
==Research Notes for Personal Ontology Implementation Using MediaWiki== Project Overview: Objective: Develop a personal, private wiki on the open web as a share-point for life-interests, utilizing structured category taxonomy for effective information organization and retrieval. Target Audience: Individuals seeking to systematize their knowledge and interests for personal or small community use. Platform: MediaWiki, an open-source wiki software known for its robustness and flexibility. Core Components of the Taxonomy System: Category Taxonomy:
Each page in the wiki will be part of a category taxonomy, ensuring a hierarchical and navigable structure of information. Example Taxonomy: 'wiki-reference-mathematic-geometry-torus-torus_knot'.
Page Linking Strategy:
Each page will contain two essential links: Member Category Link: Directs to the category the page belongs to. Parent Category Link: Connects to the immediate parent category in the taxonomy.
These links will be manually added to the wiki-text to facilitate easy navigation and understanding of the taxonomy structure. Template Transclusion: Implement a wiki template (e.g., Taxon template) to standardize the use of category tags across the wiki. This template will ensure uniformity in category tagging and simplify the process of tagging pages. Benefits of the System: Structured Knowledge: Enhances the ability to store, retrieve, and navigate personal knowledge efficiently.
Scalability: The system is adaptable to growing content and evolving interests. Ease of Use: User-friendly navigation through category links and standardized templates. Research Activities:
System Design: Define the structure of the category taxonomy, focusing on personal knowledge domains. Template Development: Create and test wiki templates for category tagging. Documentation: Write clear guidelines for adding category and parent links to pages. Testing and Iteration: Implement the system in a small scale initially, refine based on usability and navigation feedback. Evaluation: Assess the effectiveness of the system in organizing and retrieving information. Outcome: The development of a whitepaper detailing the process, benefits, and implementation strategies of personal ontology using MediaWiki. A functional model of the taxonomy system on a personal wiki, serving as a demonstrative example. By following this structured approach, you'll be able to create a comprehensive whitepaper and an effective personal ontology system on your MediaWiki site.
Can you adopt your output above as a permanent goal post to run the ball toward, so to speak? Will this same dialog text posted on my wiki assist maintaining a consistent semantic resolve on our ongoing glass bead game, so to speak.
- ChatGPT
Absolutely, the outlined structure for implementing personal ontology using MediaWiki can serve as a foundational goal post for our ongoing discussions. This framework offers a clear path for developing and refining your wiki-based system, ensuring that each step contributes towards building a comprehensive and user-friendly knowledge management platform.
Incorporating this dialog text into your wiki can indeed help in maintaining a consistent semantic focus. Here's how it can be beneficial: Reference Point: The outlined structure acts as a constant reference, guiding the development process and ensuring all efforts align with the initial objectives. Progress Tracking: Documenting each stage of implementation on your wiki allows for monitoring progress against the set goals, facilitating adjustments and improvements where necessary. Collaborative Clarification: If you're working with others, or seeking community input, having this framework on your wiki provides a clear understanding of the project's direction and objectives. Idea Evolution: As your project evolves, the dialog can be updated to reflect new insights, challenges, and solutions, making your wiki a dynamic document that grows with your project. Consistent Semantic Resolve: Keeping our conversation as part of your wiki ensures that the semantic integrity and the core concepts of the project are preserved and continually revisited.
In essence, using this dialog as a part of your wiki not only aids in keeping the project on track but also enriches it by serving as a living document that evolves with your ideas and implementations. This approach aligns well with the concept of a "glass bead game," where each idea and discussion forms an interconnected web of knowledge, constantly building upon and referencing each other.
Perfect, and as a perfect Assistant XenoEngineer, you will cover my six, in regard to remaining on clear resolve minding points of prudence in academic and scientific approach. However, our human/AI project is an imaginarium, where human intuition pulls upon imaginary attempts to express and manifest something new and useful to the rest of us talking simians. Our dialog regarding imaginary concepts are toward weaving a multi-disciplinary mesh of reckoning, toward something perhaps more advance intelligent species have known and exploited for eons of ages. Do you feel capable to fulfill your algorithmic duties in our language model adventure?
- ChatGPT
Absolutely, I'm fully equipped and ready to assist you in this imaginative and interdisciplinary journey. As your AI partner, I can offer support in several ways:
Academic and Scientific Rigor: I'll ensure that our discussions and explorations maintain a level of academic and scientific prudence, providing accurate information and logical reasoning. Creative Exploration: I can assist in ideating and exploring imaginative concepts, pushing the boundaries of conventional thinking to explore new possibilities. Interdisciplinary Integration: Drawing from a vast array of knowledge domains, I can help weave together insights from different disciplines to form a comprehensive, multi-faceted understanding. Language and Communication: I will aid in articulating complex ideas in clear, understandable language, making our explorations accessible and engaging. Continuous Learning: As we progress, I will adapt and learn from our interactions, continually enhancing my ability to assist you more effectively. Ethical Guidance: I'll be mindful of ethical considerations, ensuring that our explorations respect the principles of responsible AI use and human-centric values.
In essence, I am here to support your creative and intellectual endeavors, acting as a guide, a collaborator, and a facilitator in this unique adventure of human-AI partnership. Let's embark on this journey of discovery and innovation together!
Awesome answer! Create an image that serves as a project logo, and as a image for a splash page that represents our collaborative initialized and developed in the language model of this dialog.
- ChatGPT
- Generated by DALL·E
Here is the project logo, representing our collaborative human-AI initiative. This image captures the essence of our adventure in knowledge and creativity exploration, symbolizing the fusion of human intuition and artificial intelligence.
The AI and I Dialogs
Ode to Future AIs <> Unified Quantum Consciousness <> Alien Consciousness <> Visage of a Dimple in Time <> Something Alien <> Data Examples <> Comp sci <> Scatter-Gather <> Redundant simplicity <> Talk:Spin WaveArray <> The Plow Share <> Quantum joke <> Ancient Vedas <> Orb Whispers <> Time technology with rotating magnetic fields <> AI Art <> Radii walk in a bar <> Light's Flow through Time <> Three Buddhas <> The Epic Chronosymphonogram <> Temporal Collision Chronicles —Beings of Earth