Tom's Obvious, Minimal Language (TOML, originally Tom's Own Markup Language)[2] is a file format for configuration files.[3] It is designed to be easy to read and write by being minimal (unlike the more-complex YAML) and by using human-readable syntax. The project standardizes the implementation of the ubiquitous INI file format, removing ambiguity from its interpretation. Originally created by Tom Preston-Werner, the TOML specification is open source. TOML is used in a number of software projects[4][5][6] and has libraries implemented in all popular programming languages.[7] https://en.wikipedia.org/wiki/TOML

LaTeX (/ˈlɑːtɛx/ LAH-tekh or /ˈleɪtɛx/ LAY-tekh, to rhyme with "blech"[2]), often stylized as LaTeX, is a software system for typesetting documents,[3] based on the TeX typesetting system. LaTeX provides a high-level, descriptive markup language to use TeX more easily: TeX handles the document layout, while LaTeX handles the content side for document processing. Because the plain TeX formatting commands are elementary, it provides authors with ready-made commands for formatting and layout requirements such as chapter headings, footnotes, cross-references and bibliographies. https://en.wikipedia.org/wiki/LaTeX (more)

TeX (/tɛx/), stylized as TeX, is a free and open source software typesetting program that was designed and written by computer scientist and Stanford University professor Donald Knuth[2] and first released in 1978. The term now refers to the system of extensions – which includes software programs called TeX engines, sets of TeX macros, and packages which provide extra typesetting functionality – built around the original TeX language. TeX is a popular means of typesetting complex mathematical formulae; it has been noted as one of the most sophisticated digital typographical systems.[3] https://en.wikipedia.org/wiki/TeX

A markup language is a text-encoding system which specifies the structure and formatting of a document and potentially the relationships among its parts.[1] Markup can control the display of a document or enrich its content to facilitate automated processing. https://en.wikipedia.org/wiki/Markup_language (more)

Markup Language

In mathematics, and more specifically in graph theory, a directed graph (or digraph) is a graph that is made up of a set of vertices connected by directed edges, often called arcs. (edges having a Direction/arrow); see also knowledge graph

In knowledge representation and reasoning, knowledge graph is a knowledge base that uses a graph-structured data model or topology to integrate data. Knowledge graphs are often used to store interlinked descriptions of entities – objects, events, situations or abstract concepts – while also encoding the semantics underlying the used terminology.[1] Since the development of the Semantic Web, knowledge graphs are often associated with linked open data projects, focusing on the connections (semantic relations) between concepts and entities.[2][3] They are also prominently associated with and used by search engines such as Google, Bing, and Yahoo; knowledge-engines and question-answering services such as WolframAlpha, Apple's Siri, and Amazon Alexa; and social networks such as LinkedIn and Facebook. https://en.wikipedia.org/wiki/Knowledge_graph (more)

The difference between Concept Maps and Mind Maps is that a mind map has only one main concept, while a concept map may have several. This comes down to the point that a mind map can be represented as a tree, while a concept map may need a network representation. http://users.edte.utwente.nl/lanzing/cm_home.htm (Free Form Mind Map (more)

Joel Chan: Sustainable Authorship Models for a Discourse-Based Scholarly Communication Infrastructure · Series 1.2: Business of Knowing. Today's scholarly communication infrastructure is not designed to support scholarly synthesis. When gathering sources for a literature review, researchers need to answer questions about theories, lines of evidence, and claims, and how they inform, support, or oppose each other. This information cannot be found simply in the titles of research papers, in groupings of papers by area, or even in citation or authorship networks. (more)

Structured Group Discussion system. In the 1980s, Horst Rittel developed the Issue-Based Information System, a hypertext environment for the structured discussion of design issues. This system uses a stringent classification scheme to organize the data. There are three node types (issues, positions, arguments) and nine link types (semantic relations) (responds-to, questions, supports, objects-to, specializes, generalizes, refers-to, replaces). These elements are designed to be used in the analysis of "Wicked Problems." (more)

Relations (also known as relationships) between objects in an ontology specify how objects are related to other objects. Typically a relation is of a particular type (or class) that specifies in what sense the object is related to the other object in the ontology... Much of the power of ontologies comes from the ability to describe relations. Together, the set of relations describes the semantics of the domain: that is, its various semantic relations, such as synonymy, hyponymy and hypernymy, coordinate relation, and others. The set of used relation types (classes of relations) and their subsumption hierarchy describe the expression power of the language in which the ontology is expressed. https://en.wikipedia.org/wiki/Ontology_components#Relations (more)

John Cutler: TBM 393: Why Labeling Relationships Is So Important. At work, I end up mapping out a lot of company operating systems. And it wasn’t until yesterday that something finally clicked (more)

interpersonal relationship, semantic relation, etc.

kinda like a Taxonomy, but with more clauses defining relationships among terms (more)

ConceptNet is a semantic network based on the information in the OMCS database. ConceptNet is expressed as a directed graph whose nodes are concepts, and whose edges are assertions of common sense about these concepts. Concepts represent sets of closely related natural language phrases, which could be noun phrases, verb phrases, adjective phrases, or clauses.[5] ConceptNet is created from the natural-language assertions in OMCS by matching them against patterns using a shallow parser... The information in ConceptNet can be used as a basis for machine learning algorithms. One representation, called AnalogySpace, uses singular value decomposition to generalize and represent patterns in the knowledge in ConceptNet, in a way that can be used in AI applications. Its creators distribute a Python machine learning toolkit called Divisi for performing machine learning based on text corpora, structured knowledge bases such as ConceptNet, and combinations of the two. https://en.wikipedia.org/wiki/Open_Mind_Common_Sense#ConceptNet (more)

an atomic argument? see Nature of Truth, Disputation Arena, Claim-refactoring Service, pattern, Triple, Quad, or Quint, IBIS/Dialogue Mapping, belief, hypothesis, theory, proposition (more)

Dorian Taylor: The Nerden of Dorking Paths. ...over the last year and change, I have identified two projects: one for a product and another for a tool to help deliver a service. These are both indefinite as to when they will be “done enough” to be merchantable. They are, to refresh our memories... (more)

Simple Knowledge Organization System (SKOS) is a W3C recommendation designed for representation of thesauri, classification schemes, taxonomies (taxonomy), subject-heading systems, or any other type of structured controlled vocabulary. SKOS is part of the Semantic Web family of standards built upon RDF and RDFS, and its main objective is to enable easy publication and use of such vocabularies as linked data. https://en.wikipedia.org/wiki/Simple_Knowledge_Organization_System (more)

Dorian Taylor: A Process Model Ontology: language and exchange format for software applications designed to facilitate project management. This vocabulary extends the IBIS vocabulary in the natural fashion that once we have framed an issue and decided to solve it, we must then specify a method, nominate a person responsible, and allocate time and material resources to carry out the solution. (to-do-list, issue-tracker) (more)

flow (more)