Node-based Semantic Similarity Measure

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A Node-based Semantic Similarity Measure is a Topological Semantic Similarity Measure that calculates the similarity between ontological concepts based on the information content of the nodes in a semantic network.



References

2021

  • (Wikipedia, 2021) ⇒ https://en.wikipedia.org/wiki/Semantic_similarity#Topological_similarity Retrieved:2021-8-7.
    • There are essentially two types of approaches that calculate topological similarity between ontological concepts:
      • Edge-based: which use the edges and their types as the data source;
      • Node-based: in which the main data sources are the nodes and their properties.
    • Other measures calculate the similarity between ontological instances:
      • Pairwise: measure functional similarity between two instances by combining the semantic similarities of the concepts they represent
      • Groupwise: calculate the similarity directly not combining the semantic similarities of the concepts they represent

2013

2010

2009

  1. Seco N, Veale T, Hayes J. An intrinsic information content metric for semantic similarity in wordnet. ECAI. 2004. pp. 1089–1090.

2008

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2006

2005a

2005b

1998

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1995