Ontology-based semantic similarity: A new feature-based approach

By David Sánchez, Montserrat Batet, David Isern, Aïda Valls. Expert systems with applications, 2012

417 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/6534b2d793d8b0fd40b6bf2569ab2aa3a1281a88

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Vijay Mago
2. Dhivya Chandrasekaran

In Molecular Biology

1. Vijay Mago
2. Dhivya Chandrasekaran

Citations in the corpus

• Processing (2020, neutral): “The studies varied in terms of the students' ages and the number of synonym training trials.”
• Evolution of Semantic Similarity—A Survey (2020, methodology): “The feature-based methods calculate similarity as a function of properties of the words, like gloss, neighboring concepts, etc. [92].”