This article is about knowledge management software. For the general concept, see Personal knowledge management.
Information mapping
Topics and fields
Business decision mapping
Data visualization
Graphic communication
Infographics
Information design
Knowledge visualization
Mental model
Morphological analysis
Ontology (information science)
Schema (psychology)
Visual analytics
Visual language
Node–link approaches
Argument map
Cladistics
Cognitive map
Concept lattice
Concept map
Conceptual graph
Decision tree
Dendrogram
Graph drawing
Hyperbolic tree
Hypertext
Issue map
Issue tree
Layered graph drawing
Mind map
Object-role modeling
Organizational chart
Pathfinder network
Radial tree
Semantic network
Sociogram
Timeline
Topic map
Tree structure
ZigZag
See also
Design rationale
Diagrammatic reasoning
Entity–relationship model
Geovisualization
List of concept- and mind-mapping software
Olog
Ontology (philosophy)
Problem structuring methods
Semantic Web
Treemapping
Wicked problem
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A personal knowledge base (PKB) is an electronic tool used to express, capture, and later retrieve the personal knowledge of an individual. It differs from a traditional database in that it contains subjective material particular to the owner, that others may not agree with nor care about. Importantly, a PKB consists primarily of knowledge, rather than information; in other words, it is not a collection of documents or other sources an individual has encountered, but rather an expression of the distilled knowledge the owner has extracted from those sources or from elsewhere.[1][2][3]
The term personal knowledge base was mentioned as early as the 1980s,[4][5][6][7] but the term came to prominence in the 2000s when it was described at length in publications by computer scientist Stephen Davies and colleagues,[1][2] who compared PKBs on a number of different dimensions, the most important of which is the data model that each PKB uses to organize knowledge.[1]: 18 [3]
^ abcDavies, Stephen; Velez-Morales, Javier; King, Roger (August 2005). Building the memex sixty years later: trends and directions in personal knowledge bases (Technical report). Boulder, Colo.: Department of Computer Science, University of Colorado at Boulder. CU-CS-997-05.
^ abDavies, Stephen (February 2011). "Still building the memex". Communications of the ACM. 54 (2): 80–88. doi:10.1145/1897816.1897840. S2CID 9551946. Archived from the original on 2021-06-24.
^ abSee also the dissertation of Max Völkel, which examined personal knowledge data models, and proposed a meta-model called "Conceptual Data Structures": Völkel, Max (January 2010). Personal knowledge models with semantic technologies (Ph.D. thesis). Karlsruhe: Faculty of Economics, Karlsruhe Institute of Technology, University of the State of Baden-Württemberg, and National Laboratory of the Helmholtz Association. doi:10.5445/IR/1000019641. OCLC 837821583.
^Brooks, Tom (April 1985). "New technologies and their implications for local area networks". Computer Communications. 8 (2): 82–87. doi:10.1016/0140-3664(85)90218-X.
^Krüger, Gerhard (1986). "Future information technology—motor of the 'information society'". In Henn, Rudolf (ed.). Employment and the transfer of technology. Berlin; New York: Springer-Verlag. pp. 39–52. doi:10.1007/978-3-642-71292-0_4. ISBN 3540166394. OCLC 14108228.
^Forman, George E. (1988). "Making intuitive knowledge explicit through future technology". In Forman, George E.; Pufall, Peter B. (eds.). Constructivism in the computer age. The Jean Piaget Symposium series. Hillsdale, NJ: Lawrence Erlbaum Associates. pp. 83–101. ISBN 0805801014. OCLC 16922453.
^Smith, Catherine F. (1991). "Reconceiving hypertext". In Hawisher, Gail E.; Selfe, Cynthia L. (eds.). Evolving perspectives on computers and composition studies: questions for the 1990s. Urbana, IL: National Council of Teachers of English. pp. 224–252. ISBN 0814111661. OCLC 23462809.
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