WNetSS architecture

WordNet-based Semantic Similarity

WNetSS is a java API allowing the use of a wide WordNet-based semantic similarity measures pertaining to different categories including taxonomic-based, features-based and IC-based measures. Determining the Semantic Similarity (SS) between word pairs is an important component in several research fields. It is the first API that allows the extraction of the topological parameters from the WordNet “is a” taxonomy which are used to express the semantics of concepts. Moreover, an evaluation module is proposed to assess the reproducibility of the measures accuracy that can be evaluated and compared according to 10 widely-used benchmarks through the correlations coefficients.

VersionDateDownloads
WNetSS API v1.0August 04, 2016 394
Examples:


Examples
Description
Date
Example0Wordnet LoadingAugust 04, 2016
Example1Extracting Topological Parameters of Nominal WordNet "is a" taxonomyAugust 04, 2016
Example2Wordnet Semantic Similarity Taxonomic MeasuresAugust 04, 2016
Example3Wordnet Semantic Similarity Information Content ApproachAugust 04, 2016
Example4Wordnet Semantic Similarity Features ApproachAugust 04, 2016
Example5Studying the accuracy of semantic measures through the noun benchmarksAugust 04, 2016
Example6Extracting Topological Parameters of Verbal WordNet "is a" taxonomyAugust 04, 2016
Example7Studying the accuracy of semantic measures through the verbal benchmarksAugust 04, 2016
Example8Wordnet "is a" taxonomy - Topological paramtersAugust 04, 2016
Example9Wordnet "is a" taxonomy - Length Shortest Path Similarity MeasureAugust 04, 2016


Citing WNetSS API: If you use WNetSS API in your work, and wish to cite a paper on it, you may use the following reference:

Ben Aouicha, M., Hadj Taieb, M.A. & Ben Hamadou, A. SISR: System for integrating semantic relatedness and similarity measures. Soft Comput (2016). doi:10.1007/s00500-016-2438-x Link


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Mohamed Ben Aouicha

https://www.researchgate.net/
profile/Mohamed_Ben_Aouicha

He received the BSc from the Faculty of Sciences of Sfax, MSc degrees from the National School of the Engineers of Sfax in Tunisia. He obtained the doctorate degree from the University Paul Sabatier of Toulouse (France) / National School of the Engineers of Sfax (Tunisia) in January 2009. Currently, he is associate professor on Faculty of Sciences of Sfax. His research interests concern information retrieval, semantic similarity, semantic relatedness, knowledge representation, information fusion and social media. He is member of the Research Laboratory MIRACL (http://www.miracl.rnu.tn/).

Mohamed Ali Hadj Taieb

https://www.researchgate.net/
profile/Mohamed_Ali_Hadj_Taieb2

He received the BSc from the Faculty of Sciences of Sfax and MSc degrees from the National School of the Engineers of Sfax, in Tunisia. He obtained the PhD degree at the University of Sfax in December 2014. He is assistant professor on Higher Institute of Applied Sciences and Technology - Sousse, Tunisia. His research interests include semantic similarity, semantic relatedness, knowledge representation, information fusion and social media. He is member of the Research Laboratory MIRACL (http://www.miracl.rnu.tn/).

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