Knowledge Conceptualization Tool

@article{Fujihara1997KnowledgeCT,
  title={Knowledge Conceptualization Tool},
  author={H. Fujihara and D. Simmons and N. Ellis and R. E. Shannon},
  journal={IEEE Trans. Knowl. Data Eng.},
  year={1997},
  volume={9},
  pages={209-220}
}
Knowledge acquisition is one of the most important and problematic aspects of developing knowledge-based systems. Many automated tools have been introduced in the past, however, manual techniques are still heavily used. Interviewing is one of the most commonly used manual techniques for a knowledge acquisition process, and few automated support tools exist to help knowledge engineers enhance their performance. The paper presents a knowledge conceptualization tool (KCT) in which the knowledge… Expand
25 Citations
Concept-Guided Query Expansion for Knowledge Management with Semi-Automatic Knowledge Capturing
  • 14
A knowledge component extraction technology using figures and tables
  • 5
Knowledge elicitation and representation in a normative approach-a case study in diagnosis of plant diseases in Egypt
  • 3
Concepts, Ontologies, and Knowledge Representation
  • 33
Defect-related knowledge acquisition for decision support systems in electronics assembly
  • 2
  • PDF
Epistheme: scientific knowledge management environment in the SpeCS collaborative framework
  • 3
A Bayesian Based Machine Learning Application to Task Analysis
  • Shu-Chiang Lin
  • Computer Science
  • Encyclopedia of Data Warehousing and Mining
  • 2009
  • 5
...
1
2
3
...

References

SHOWING 1-10 OF 42 REFERENCES
Conceptual models of interactive knowledge acquisition tools
  • 75
Current Trends in Knowledge Acquisition
  • 110
A survey of knowledge acquisition techniques and tools
  • 224
  • Highly Influential
Automated generation of model-based knowledge acquisition tools
  • 204
  • Highly Influential
The use of hierarchic clustering in information retrieval
  • 549
A Comparison of Text Retrieval Models
  • 179
  • PDF
Probabilistic reasoning in intelligent systems - networks of plausible inference
  • J. Pearl
  • Computer Science
  • Morgan Kaufmann series in representation and reasoning
  • 1989
  • 17,615
  • PDF
The probability ranking principle in IR
  • 981
The cluster hypothesis revisited
  • 165
...
1
2
3
4
5
...