Adapting gloss vector semantic relatedness measure for semantic similarity estimation: an evaluation in the biomedical domain

Adapting gloss vector semantic relatedness measure for semantic similarity estimation: an evaluation in the biomedical domain

Automatic methods of ontology alignment are essential for establishing interoperability across web services. These methods are needed to measure semantic similarity between two ontologies’ entities to discover reliable correspondences. While existing similarity measures suffer from some difficulties...

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Bibliographic Details
Main Authors: Pesaranghader, Ahmad, Rezaei, Azadeh, Pesaranghader, Ali
Format: Conference or Workshop Item
Language:English
Published: Springer 2013
Online Access:http://psasir.upm.edu.my/id/eprint/60363/
http://psasir.upm.edu.my/id/eprint/60363/1/Adapting%20gloss%20vector%20semantic%20relatedness%20measure%20for%20semantic%20similarity%20estimation%20an%20evaluation%20in%20the%20biomedical%20domain.pdf

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