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Related Concept Videos

Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Improving Translational Accuracy02:07

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Related Experiment Video

Updated: Jun 28, 2026

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

Reflecting all query aspects on query expansion.

Sooyoung Yoo1, Jinwook Choi

  • 1Seoul National University, Seoul, Korea.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|November 13, 2008
PubMed
Summary
This summary is machine-generated.

Reflecting all query aspects improves document retrieval by enhancing query expansion. Local context analysis better captures query meaning than standard methods for better search results.

More Related Videos

Universal Molecular Retention with 11-Fold Expansion Microscopy
10:31

Universal Molecular Retention with 11-Fold Expansion Microscopy

Published on: October 6, 2023

Related Experiment Videos

Last Updated: Jun 28, 2026

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

Universal Molecular Retention with 11-Fold Expansion Microscopy
10:31

Universal Molecular Retention with 11-Fold Expansion Microscopy

Published on: October 6, 2023

Area of Science:

  • Information Science
  • Medical Informatics
  • Computer Science

Background:

  • Effective document retrieval in medical databases like MEDLINE is crucial for research.
  • Traditional query expansion methods may not fully capture the nuances of user information needs.
  • Local context analysis offers a potential improvement for understanding query intent.

Purpose of the Study:

  • To evaluate the impact of reflecting all query aspects on query expansion.
  • To compare the effectiveness of local context analysis against standard methods for query expansion.
  • To improve document retrieval performance in the OHSUMED test collection.

Main Methods:

  • Utilizing local context analysis and a similarity measure for query expansion.
  • Implementing a method to reflect all query aspects within the expansion process.
  • Comparing experimental results with the standard Rocchio's weight algorithm.

Main Results:

  • The proposed method, reflecting all query aspects, demonstrated superior performance.
  • Local context analysis proved more effective in capturing query meaning compared to standard approaches.
  • Experimental results showed significant improvements in MEDLINE document retrieval.

Conclusions:

  • Reflecting all query aspects through local context analysis enhances query expansion effectiveness.
  • This approach offers a more comprehensive representation of user information needs.
  • The findings suggest a valuable enhancement for medical information retrieval systems.