Semantic Networks

Semantic Networks is a graph-based knowledge representation formalism that models a domain’s concepts or lexical items as nodes and explicitly encodes the semantic relations among them as labeled edges to enable structured mapping, inference, and analysis of meaning.

8.2K

Publications

570.7K

Citations

19.2K

Authors

3.3K

Institutions

Publications per year

2017–2026

3.2K

Authors

19.2K

  1. AS
    Amit Sheth

    Wright State University, United States

    41 publications · 3.3K citations

    25

    h-index

  2. RN
    Roberto Navigli

    Sapienza University of Rome, Italy

    31 publications · 4.5K citations

    24

    h-index

  3. EM
    Enrico Motta

    The Open University, United Kingdom

    29 publications · 2K citations

    23

    h-index

  4. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    27 publications · 6.1K citations

    21

    h-index

  5. SD
    Stefan Decker

    Ollscoil na Gaillimhe – University of Galway, Ireland

    25 publications · 1.8K citations

    21

    h-index

1–5 of 19.2K

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 105 publications · 8.2K citations

    46

    h-index

  2. Journal of Web Semantics

    85 publications · 8.2K citations

    44

    h-index

  3. arXiv (Cornell University)

    Repository · 203 publications · 10.3K citations

    44

    h-index

  4. Expert Systems with Applications

    97 publications · 4.2K citations

    38

    h-index

  5. Knowledge-Based Systems

    98 publications · 3.8K citations

    36

    h-index

1–5