Node-and-Relation-Content-based Semantic Similarity Measure

A Node-and-Relation-Content-based Semantic Similarity Measure is a Hybrid Semantic Similarity Measure that calculates the similarity between ontological concepts by considering the semantic content of the nodes and as well as the relation between them.

• Example(s):
  • Dong-Hussain-Chang Context-aware Semantic Similarity Measure (Dong et al., 2011),
  • Dong-Hussain-Chang Hybrid Concept Similarity Measure (Dong et al., 2009),
  • …
• Counter-Example(s):
  • an Edge-based Semantic Similarity Measure,
  • a Node-based Semantic Similarity Measure,
  • a Pairwise Semantic Similarity Measure,
  • a Group wise Semantic Similarity Measure.
• See: Semantic Similarity Measure, Semantic Similarity Neural Network, Semantic Word Similarity Measure, Gene Semantic Similarity Measure, Semantic Relatedness Measure, Similarity Matrix, Generalized Cosine-Similarity Measure (GCSM).

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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

2011

• (Dong et al., 2011) ⇒ Hai Dong, Farookh Khadeer Hussain, and Elizabeth Chang (2011). "A Context-Aware Semantic Similarity Model for Ontology Environments". In: Concurrency and Computation: Practice and Experience 23(5).

2009

• (Dong et al., 2009) ⇒ Hai Dong, Farookh Khadeer Hussain, and Elizabeth Chang (2009). "A Hybrid Concept Similarity Measure Model for Ontology Environment". In: Proceedings of On the Move to Meaningful Internet Systems (OTM 2009) Workshops. Lecture Notes in Computer Science, vol 5872. Springer.

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