Concept-based Document Representation

Concept-Based Document Representation is a document representation approach that characterizes documents based on high-level semantic concepts rather than lexical or syntactic features, capturing the underlying conceptual meaning relevant to the document's content and purpose.

47

Publications

2K

Citations

135

Authors

53

Institutions

Publications per year

2017–2026

7

Authors

135

  1. GM
    Gary Marchionini

    University of North Carolina at Chapel Hill, United States

    2 publications · 27 citations

    2

    h-index

  2. MS
    Mohamed S. Kamel

    University of Waterloo, Canada

    2 publications · 43 citations

    2

    h-index

  3. FD
    F. Dubiel

    German Research Centre for Artificial Intelligence, Germany

    2 publications · 84 citations

    2

    h-index

  4. MB
    Mohand Boughanem

    Université Toulouse III - Paul Sabatier, France

    2 publications · 36 citations

    2

    h-index

  5. TH
    Thomas Hofmann

    Leibniz-Institute for Food Systems Biology at the Technical University of Munich, Germany

    2 publications · 132 citations

    2

    h-index

1–5 of 135

Venues

  1. Information Processing & Management

    2 publications · 106 citations

    2

    h-index

  2. Expert Systems with Applications

    2 publications · 65 citations

    2

    h-index

  3. Knowledge-Based Systems

    2 publications · 43 citations

    2

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5