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Spider mapping, sometimes called a semantic map, is a graphic organizer or concept map that can be used for brainstorming ideas, aspects, and thoughts typically on a single theme or topic. It is used to sort and evaluate multiple ideas and to show relationships between ideas.
to the end of the template code, making sure it starts on the same line as the code's last character. This category is for article-related templates that improve Wikipedia's use of Web semantics. For background information on the concept of Web semantics (meaningful markup, as opposed to pure presentation/display), see:
The table above has links to various tutorials and resources which can help in the creation of Wikipedia maps from digital georeferenced data . Layers: . NASA topographic data ; . NaturalEarth political divisions and watersways ; . OSM roads and urban areas ; . Shaded relief (processed) ; . Specific projection. a.
Minds maps for academics oriented around their research papers, notes and annotations: Semantica: Semantic Research OS X, Windows: Family of software to create, view, store and share knowledge structures: SmartDraw: SmartDraw Software, LLC Windows: Visual processor used to create flowcharts, organization charts, mind maps, gantt charts and ...
This template's initial visibility currently defaults to collapsed, meaning that it is hidden apart from its title bar. To change this template's initial visibility, the |state= parameter may be used: {{Semantic markup templates | state = expanded}} will show the template expanded, i.e. fully visible.
A concept map typically represents ideas and information as boxes or circles, which it connects with labeled arrows, often in a downward-branching hierarchical structure but also in free-form maps. [ 2 ] [ 3 ] The relationship between concepts can be articulated in linking phrases such as "causes", "requires", "such as" or "contributes to".
A mind map is a diagram used to visually organize information into a hierarchy, showing relationships among pieces of the whole. [1] It is often based on a single concept, drawn as an image in the center of a blank page, to which associated representations of ideas such as images, words and parts of words are added.
The semantic expressive power of Topic Maps is, in many ways, equivalent to that of RDF, [citation needed] but the major differences are that Topic Maps (i) provide a higher level of semantic abstraction (providing a template of topics, associations and occurrences, while RDF only provides a template of two arguments linked by one relationship ...