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A German scholar's physical Zettelkasten or card file A card file for personal knowledge management can be made up of notes containing numbers, tags (blue) and cross-references to other notes (red). A tag index (bottom right) allows topical cross-referencing.
Knowledge management (KM) is the set of procedures for producing, disseminating, utilizing, and overseeing an organization's knowledge and data.It alludes to a multidisciplinary strategy that maximizes knowledge utilization to accomplish organizational goals.
Knowledge representation goes hand in hand with automated reasoning because one of the main purposes of explicitly representing knowledge is to be able to reason about that knowledge, to make inferences, assert new knowledge, etc. Virtually all knowledge representation languages have a reasoning or inference engine as part of the system.
History of knowledge management is quite short because there was a long-time lack of consensus on what would be a good definition of knowledge management. Before starting to use knowledge management as a theoretical frame there was only know-how about thinking with knowledge. The most important key factor of knowledge management is recognizing ...
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 ...
The idea of a knowledge ecosystem is an approach to knowledge management which claims to foster the dynamic evolution of knowledge interactions between entities to improve decision-making and innovation through improved evolutionary networks of collaboration.
Knowledge management software, in general, enables the combination of unstructured information sources, such as individual word processed documents and/or PDF documents, email, graphic illustrations, unstructured notes, website links, invoices, and other information bearing collections, such as a simple thought, through to a combination of ...
The SECI model of knowledge dimensions (or the Nonaka-Takeuchi model) is a model of knowledge creation that explains how tacit and explicit knowledge are converted into organizational knowledge. The aim is to change the explicit knowledge of the model back into the tacit knowledge of the employees. [ 1 ]