A4 Article in conference proceedings
A Configurable Evaluation Framework for Node Embedding Techniques (2019)


Pellegrino, M. A., Cochez, M., Garofalo, M., & Ristoski, P. (2019). A Configurable Evaluation Framework for Node Embedding Techniques. In P. Hitzler, S. Kirrane, O. Hartig, V. de Boer, M.-E. Vidal, M. Maleshkova, S. Schlobach, K. Hammar, N. Lasierra, S. Stadtmüller, K. Hose, & R. Verborgh (Eds.), The Semantic Web : ESWC 2019 Satellite Events, Revised Selected Papers (pp. 156-160). Springer. Lecture Notes in Computer Science, 11762. https://doi.org/10.1007/978-3-030-32327-1_31


JYU authors or editors


Publication details

All authors or editorsPellegrino, Maria Angela; Cochez, Michael; Garofalo, Martina; Ristoski, Petar

Parent publicationThe Semantic Web : ESWC 2019 Satellite Events, Revised Selected Papers

Parent publication editorsHitzler, Pascal; Kirrane, Sabrina; Hartig, Olaf; de Boer, Victor; Vidal, Maria-Esther; Maleshkova, Maria; Schlobach, Stefan; Hammar, Karl; Lasierra, Nelia; Stadtmüller, Steffen; Hose, Katja; Verborgh, Rube

Conference:

  • European Semantic Web Conference

Place and date of conferencePortorož, Slovenia2.6.6.2019

ISBN978-3-030-32326-4

eISBN978-3-030-32327-1

Journal or seriesLecture Notes in Computer Science

ISSN0302-9743

eISSN1611-3349

Publication year2019

Number in series11762

Pages range156-160

Number of pages in the book302

PublisherSpringer

Place of PublicationCham

Publication countrySwitzerland

Publication languageEnglish

DOIhttps://doi.org/10.1007/978-3-030-32327-1_31

Publication open accessNot open

Publication channel open access


Abstract

While Knowledge Graphs (KG) are graph shaped by nature, most traditional data mining and machine learning (ML) software expect data in a vector form. Several node embedding techniques have been proposed to represent each node in the KG as a low-dimensional feature vector. A node embedding technique should preferably be task independent. Therefore, when a new method has been developed, it should be tested on the tasks it was designed for as well as on other tasks. We present the design and implementation of a ready to use evaluation framework to simplify the node embedding technique testing phase. The provided tests range from ML tasks, semantic tasks to semantic analogies.


Keywordsdata miningmachine learningsemantic web

Free keywordsevaluation framework; node embedding; machine learning; semantic tasks


Contributing organizations


Ministry reportingYes

Reporting Year2019

JUFO rating1


Last updated on 2024-23-02 at 19:30