Group-wise Semantic Similarity Measure

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A Group-wise Semantic Similarity Measure is a Topological Semantic Similarity Measure that calculates similarities between two ontological instances based on the group's Jaccard index.



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

2009a

2009b

Measure Approach Techniques Weighting
Lee et al. (2004) (TO) Graph-based Term overlap None
Mistry et al. (2008) (NTO) Graph-based Term overlap, Normalized None
Gentleman (2005) (simLP) Graph-based Shared-path None
Gentleman (2005) (simUI) Graph-based Jaccard None
Martin et al. (2004) (GOToolBox) Graph-based Czekanowski-Dice, Jaccard None
Pesquita et al. (2008) (simUI) Graph-based Jaccard IC
Ye et al. (2005) Graph-based LCA, Normalized None
Cho et al. (2007) Graph-based LCA IC
Lin et al. (2004) Graph-based Intersection Annotation set probability
Yu et al. (2007) Graph-based LCA Annotation set probability
Sheehan et al. (2008) (SSA) Graph-based Resnik, Lin Annotation set probability
Huang et al. (2007) Vector-based Kappa-statistic None
Chabalier et al. (2007) Vector-based Cosine IC
Table 3: Summary of groupwise approaches.

2008a

2008b

2008c

2007a

2007b

2007c

2007d

2005

2004a

2004b

2004c