Semantic Web Mining

Semantic Web Mining is a method that integrates data mining techniques with semantic technologies to extract, interpret, and infer meaningful patterns from structured and semi-structured web data enriched with formalized semantics.

280

Publications

13.1K

Citations

842

Authors

308

Institutions

Publications per year

2017–2026

43

Authors

842

  1. MI
    Mitsuru Ishizuka

    The University of Tokyo, Japan

    6 publications · 522 citations

    6

    h-index

  2. PM
    Peter Mika

    Yahoo (Spain), Spain

    5 publications · 441 citations

    5

    h-index

  3. YM
    Yutaka Matsuo

    The University of Tokyo, Japan

    5 publications · 501 citations

    5

    h-index

  4. HP
    Heiko Paulheim

    University of Mannheim, Germany

    5 publications · 544 citations

    5

    h-index

  5. AJ
    Anupam Joshi

    University of Maryland, Baltimore County, United States

    5 publications · 427 citations

    5

    h-index

1–5 of 842

Venues

  1. Journal of Web Semantics

    7 publications · 1.1K citations

    7

    h-index

  2. Semantic Web

    6 publications · 256 citations

    6

    h-index

  3. arXiv (Cornell University)

    Repository · 5 publications · 109 citations

    5

    h-index

  4. Expert Systems with Applications

    4 publications · 133 citations

    4

    h-index

  5. Knowledge and Information Systems

    4 publications · 170 citations

    4

    h-index

1–5