Hybrid Semantic Similarity Measure

A Hybrid Semantic Similarity Measure is a Topological Semantic Similarity Measure that combines node-based, edge-based and other semantic similarity measures.

• Example(s):
  • a Node-and-Relation-Content-based Semantic Similarity Measure,
  • an Extended UTMGO (Othman et al., 2008),
  • a G-SESAME (Wang et al., 2007),
  • …
• 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), Path Distance Similarity Measure.

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References

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.

2008

• (Othman et al., 2008) ⇒ Razib M.Othmana, Safaai Deris, and Rosli M.Illias (2008) "A genetic similarity algorithm for searching the Gene Ontology terms and annotating anonymous protein sequences" In: Journal of Biomedical Informatics 41(1), Elsevier.

2007

• (Wang et al., 2007) ⇒ James Z. Wang, Zhidian Du, Rapeeporn Payattakool, Philip S. Yu, and Chin-Fu Chen (2007). "A new method to measure the semantic similarity of GO terms"In: Bioinformatics 23 (10).

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