Aug 11, 2018 · This paper contains a review on the state of art approaches including structure-based approach, information content-based approach, feature- ...
This paper contains a review on the state of art approaches including structure-based approach, information content-based approach, feature-based approach and ...
Measuring semantic similarity between terms is an important step in information retrieval and information integration which requires semantic content ...
This paper contains a review on the state of art approaches including structure-based approach, information content-based approach, feature-based approach and ...
Aug 10, 2019 · In this study, we concentrated on the use of approaches based on features of terms to measure the similarity concept between two ontologies.
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Jan 13, 2022 · Abstract. Measuring semantic similarity between concepts is an important step in information retrieval and information integration which ...
Apr 20, 2015 · Abstract: Measuring semantic similarity between concepts is an important step in information retrieval and information integration which ...
Feb 3, 2017 · We also discussed similarity according to their advantages, disadvantages and issues related to multiple ontology especially on method in ...
Dec 8, 2017 · We also discussed similarity according to their advantages, disadvantages and issues related to multiple ontology especially on method in ...
Measuring semantic similarity between terms is an important step in information retrieval and information integration which requires semantic content matching.