Concept maps or conceptual diagrams are graphical tools for organizing and representing knowledge that depicts a suggested relationship between concepts.
Concept mapping can be contrasted with the similar idea of mind mapping, which is often restricted to radial hierarchies and tree structures. Among the various schema and techniques for visualizing ideas, processes, organizations.
The concept mapping technique is both formal and informal and useful in knowledge representation, decision support, education, documentation, meeting support, brainstorming, and a host of other areas. Computer support of concept mapping is essential since creation and revision of hand-drawn maps is far too labor-intensive. Computer support of concept mapping also holds the potential benefit of additional services such as automatic inconsistency detection, incompleteness detection, suggestion of potential extensions, and the use of various elicitation techniques. However, a dichotomy exists between the human user’s need to work with a flexible and forgiving (hence informal) system, and the computer’s need for a (formal) system with strong semantics.
They include concepts, usually enclosed in circles or boxes of some type, and relationships between concepts indicated by a connecting line linking two concepts. Words on the line, referred to as linking words or linking phrases, specify the relationship between the two concepts. A concept is defined as a perceived regularity or pattern in events or objects, or records of events or objects, designated by a label. The label for most concepts is a word, although sometimes a symbol(s) such as + or %, and sometimes more than one word is used. Propositions are statements about some object or event in the universe, either naturally occurring or constructed. Propositions contain two or more concepts connected using linking words or phrases to form a meaningful statement. Sometimes these are called semantic units, or units of meaning.
This presentation will concentrate on the Institute for Human and Machine Cognition’s (IHMC) CmapTool software that empowers users to construct, navigate, share and criticize knowledge models represented as concept maps, thus closing the dichotomy that exists between man and machine.
Sponsored by the Laboratory for Analytic Sciences
LAS aims to bring together a multi-disciplinary group of academic, industry, and government researchers, analysts and managers together to re-engineer the intelligence analysis process to promote predictive analysis. LAS will do this by conducting both classified and unclassified research in a variety of areas of research. The research done in this area will serve as the foundation for mission effects and integrated back into the enterprise.
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