Abstract

In this paper, we present an evolution of a novel approach for evaluating semantic similarity in a taxonomy, based on the well-known notion of information content. Such an approach takes into account not only the generic sense of a concept but also its intended sense in a given context. In this work semantic similarity is evaluated according to a refined relatedness measure between the generic sense and the intended sense of a concept, leading to higher correlation values with human judgment with respect to the original proposal.

Keywords

MSC

68T30

Cite this article

@article{cai-5835,
  author  = {Anna Formica and Francesco Taglino},
  title   = {Semantic Similarity in a Taxonomy by Refining the Relatedness of Concept Intended Senses},
  journal = {Computing and Informatics},
  volume  = {42},
  number  = {1},
  pages   = {191--209},
  year    = {2023},
  issn    = {1335-9150},
  doi     = {10.31577/cai_2023_1_191}
}
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