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Concept maps are widely used in education and business. Uses include: Note taking and summarizing gleaning key concepts, their relationships and hierarchy from documents and source materials; New knowledge creation: e.g., transforming tacit knowledge into an organizational resource, mapping team knowledge
A graphic organizer, also known as a knowledge map, concept map, story map, cognitive organizer, advance organizer, or concept diagram, is a pedagogical tool that uses visual symbols to express knowledge and concepts through relationships between them. [1]
In knowledge representation and reasoning, a knowledge graph is a knowledge base that uses a graph-structured data model or topology to represent and operate on data. Knowledge graphs are often used to store interlinked descriptions of entities – objects, events, situations or abstract concepts – while also encoding the free-form semantics ...
A graphic organizer can be also known as a knowledge map, a concept map, a story map, a cognitive organizer, an advance organizer, or a concept diagram. They are used as a communication tool to employ visual symbols to express knowledge, concepts, thoughts or ideas, and the relationships between them.
A cognitive map is a spatial representation of the outside world that is kept within the mind, until an actual manifestation (usually, a drawing) of this perceived knowledge is generated, a mental map. Cognitive mapping is the implicit, mental mapping the explicit part of the same process.
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 ...
Fuzzy cognitive maps are signed fuzzy directed graphs. Spreadsheets or tables are used to map FCMs into matrices for further computation. FCM is a technique used for causal knowledge acquisition and representation, it supports causal knowledge reasoning process and belong to the neuro-fuzzy system that aim at solving decision making problems, modeling and simulate complex systems. [4]
In artificial intelligence and cognitive science, the structure mapping engine (SME) is an implementation in software of an algorithm for analogical matching based on the psychological theory of Dedre Gentner. The basis of Gentner's structure-mapping idea is that an analogy is a mapping of knowledge from one domain (the base) into another (the ...