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Related Experiment Videos

Experiments with hierarchical concept-based search.

Robert Moskovitch1, Roee Sa'adon, Eytan Behiri

  • 1Medical Informatics Research Center, Ben Gurion University, Beer Sheva, Israel. robertmo@bgumail.bgu.ac.il

Studies in Health Technology and Informatics
|October 4, 2007
PubMed
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Hierarchical concept-based search significantly improves digital library retrieval, outperforming traditional methods. This approach is especially effective for complex queries within hierarchical trees.

Area of Science:

  • Information Science
  • Computer Science
  • Digital Libraries

Background:

  • Digital libraries often employ hierarchical indexing schemas like MeSH for concept-based search.
  • Enhancing retrieval beyond traditional full-text search presents significant challenges.

Purpose of the Study:

  • To evaluate a hierarchical concept-based search retrieval method within the Vaidruya framework.
  • To compare its performance against established baselines and traditional search methods.

Main Methods:

  • Extensive experiments were conducted using the Vaidruya search and retrieval framework.
  • A hierarchical concept-based search method was applied alongside several baselines.
  • Performance was analyzed across different query complexities and hierarchical levels.

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Main Results:

  • Concept-based search, when added to a low baseline, demonstrated significant performance improvements.
  • The method showed particular effectiveness when querying concepts at the third hierarchical level.
  • Utilizing disjunction within hierarchical trees further enhanced retrieval outcomes.

Conclusions:

  • Hierarchical concept-based search offers a viable and effective alternative to traditional full-text search in digital libraries.
  • The method's efficacy is pronounced for deeper hierarchical concepts and complex query structures.
  • Further research can optimize concept-based search strategies for diverse digital library applications.