Copyright © 2007 Elsevier Inc. All rights reserved.
Comparing and consolidating two heuristic metaschemas
Received 5 May 2007.
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Abstract
A metaschema is an Abstraction Network of the UMLS’s Semantic Network (SN) obtained from a connected partition into its collections of semantic types. A metaschema can support comprehension, visualization and navigation of the SN. In this paper, a methodology is presented to evaluate and compare two given metaschemas, based on their structural properties. This methodology was applied to the top-down metaschema and the bottom-up metaschema, derived from two studies involving two groups of UMLS experts. By the Cronbach alpha estimate, the bottom-up metaschema is reliable, while the top-down metaschema is not. An algorithm was designed to yield a consolidated metaschema enjoying the best and avoiding the worst of the two given metaschemas. The consolidation algorithm was applied to the above two metaschemas, The resulting consolidated metaschema has better structural properties than either of the two metaschemas and better supports user orientation visualization, and navigation of the Semantic Network.
Keywords: UMLS; Semantic Network; Abstraction Network; Metaschema; Comparison; Consolidation; Evaluation
Article Outline
- 1. Introduction
- 2. Background
- 3. Methods
- 3.1. Design of bottom-up heuristic metaschema
- 3.1.1. The bottom-up study
- 3.1.2. Reliability of the experts
- 3.2. Comparing metaschemas
- 3.3. Structural properties of metaschemas
- 3.4. Consolidation
- 3.4.1. Example
- 4. Results
- 4.1. Bottom-up heuristic metaschema
- 4.2. Results of metaschema comparison
- 4.3. Results of structural evaluation
- 4.4. Consolidated metaschema
- 4.4.1. Step 1
- 4.4.2. Step 2
- 4.4.3. Step 3
- 4.4.4. Step 4
- 4.4.5. Step 5 for Substance
- 4.4.6. Step 6 for Chemical
- 4.4.7. Step 7 for Chemical
- 4.4.8. Step 8 for Substance
- 4.4.9. Step 9 for Pharmacologic Substance and Organic Chemical
- 4.4.10. Step 10 for Chemical
- 4.4.11. Step 11 for Chemical
- 4.4.12. Step 12 for Chemical
- 4.4.13. Step 13 for Chemical
- 4.4.14. Step 5 for Entity
- 4.4.15. Step 6 for Entity
- 4.4.16. Step 7 for Physical Object and Conceptual Entity
- 4.4.17. Summary of Steps 8–13
- 4.4.18. Obtaining completely consolidated metaschema MC
- 4.5. Final consolidated metaschema
- 5. Discussion
- 6. Conclusions
- Acknowledgements
- Glossary
- References






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[001]. The magnitudes of the steps indicate that the distribution of Jahn-Teller distortions in this sample is much closer to the equilibrium distribution than to a frozen distribution, but perfect equilibrium is not achieved.
400 kOe. Unlike the MSTs observed earlier in other materials, these MSTs are due to pairs of distant-neighbor spins rather than to pairs of nearest-neighbor spins. For Zn1-xCoxSe the results give a second-neighbor exchange constant J2/kB = −3.04±0.1 K, and suggest a third-neighbor exchange constant J3/kB
−0.8 K. An exchange constant J/kB = −2.25±0.2 K observed in Zn1-xCoxS is either J2 or J3.




