Experience-Based Knowledge Management
Experience-Based Knowledge Management is a research topic within Artificial Intelligence. Science Explorer counts 600 research works in it since 1953. 10.3% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on experience-based knowledge representation and management, including the development of Decisional DNA and Set of Experience Knowledge Structure within ontology systems. It also explores the application of these structures in renewable energy sources, international standards, Internet of Things, cognitive vision systems, and environmental management.
- Decisional DNA
- Set of Experience Knowledge Structure
- Ontology System
- Renewable Energy Sources
- International Standards
- Internet of Things
- Cognitive Vision Systems
- Information Technology
- Semantic-based Academic Social Network
- Environmental Management
- Research works
- 600 fractional, since 1953
- In the world top 10%
- 62 per year above
- Top-10% rate
- 10.3% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- -12% the tick is no change
- Largest producer
United States
38% of the 10 largest, 2022-now
Which countries lead Experience-Based Knowledge Management research?
By volume, the United States and Indonesia publish the most (30 and 17 works in 2022-now).
By volume, 2022-now
- 1
United States 30 works
- 2
Indonesia 17 works
- 3
China 8 works
- 4
Spain 6 works
- 5
India 4 works
- 6
Germany 3 works
- 7
Poland 3 works
- 8
Taiwan 3 works
- 9
Netherlands 3 works
- 10
Italy 3 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Experience-Based Knowledge Management research?
By volume in 2022-now, Missouri University of Science and Technology publishes the most Experience-Based Knowledge Management research, followed by National Taipei University of Technology and University of Virginia.
By volume, 2022-now
- 1
Missouri University of Science and Technology
United States 2 works
- 2
National Taipei University of Technology
Taiwan 1 works
- 3
University of Virginia
United States 1 works
- 4
LI-COR Biosciences (United States)
United States 1 works
- 5
Association of British Orchestras
United Kingdom 1 works
- 6
Universitat Jaume I
Spain 1 works
- 7
Gdańsk University of Technology
Poland 1 works
- 8
Delft University of Technology
Netherlands 1 works
- 9
National Chin-Yi University of Technology
Taiwan 1 works
- 10
Politecnico di Milano
Italy 1 works
Where is Experience-Based Knowledge Management research done?
The largest centres of Experience-Based Knowledge Management research in 2022-now are Beijing (China), Rolla (United States), Surabaya (Indonesia) and Jakarta (Indonesia). Among places with at least 20 works in it, it is an unusually large share of all research in Gdańsk.
Largest cities, 2022-now
Where it is the local speciality
- GdańskPL · 20.7 works58×
Location quotient: how much more of its research is in Experience-Based Knowledge Management than the world average.
Is Experience-Based Knowledge Management research growing?
Output in 2022-2025 was 12% lower than in 2018-2021, peaking in 2025.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Experience-Based Knowledge Management as a percentage of every work published that year, 0.00037% in 2024.
Fractional works of Experience-Based Knowledge Management over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year.
Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.
Discussion
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