Entity-aware Retrieval

Entity-Aware Retrieval is a biomedical document retrieval approach that incorporates explicit recognition and semantic representation of biological and clinical entities—such as genes, proteins, diseases, and chemicals—into the retrieval process to enhance the precision and relevance of retrieved documents by leveraging entity-level knowledge.

25

Publications

730

Citations

116

Authors

39

Institutions

Publications per year

2017–2026

12

Authors

116

  1. MS
    Marcin Sydow

    Polish-Japanese Academy of Information Technology, Poland

    3 publications · 64 citations

    3

    h-index

  2. RS
    Ralf Schenkel

    Max Planck Institute for Informatics, Germany

    3 publications · 64 citations

    3

    h-index

  3. SM
    Steffen Metzger

    Max Planck Institute for Informatics, Germany

    3 publications · 64 citations

    3

    h-index

  4. TG
    Tian Gao

    Rensselaer Polytechnic Institute, United States

    2 publications · 56 citations

    2

    h-index

  5. ZG
    Zhiyu Gong

    University of Massachusetts Amherst, United States

    2 publications · 56 citations

    2

    h-index

1–5 of 116

Venues

  1. Database

    1 publications · 22 citations

    1

    h-index

  2. Computer Methods and Programs in Biomedicine

    1 publications · 24 citations

    1

    h-index

  3. Journal of Intelligent Information Systems

    1 publications · 17 citations

    1

    h-index

  4. Systematic Reviews

    1 publications · 26 citations

    1

    h-index

  5. BMC Bioinformatics

    1 publications · 46 citations

    1

    h-index

1–5