Measuring Clusters of Labels in an Embedding Space to Refine Relations in Ontology Alignment

Autor: Catherine Faron, Molka Tounsi Dhouib, Andrea G. B. Tettamanzi

Publikováno v: Journal on Data Semantics
Journal on Data Semantics, Springer, 2021, ⟨10.1007/s13740-021-00137-8⟩
Journal on Data Semantics, 2021, ⟨10.1007/s13740-021-00137-8⟩

International audience; Ontology alignment plays a key role in the management of heterogeneous data sources and metadata. In this context, various ontology alignment techniques have been proposed to discover correspondences between the entities of di

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27e1c762d84e8dd9690b9358967b8bfe
https://hal.inria.fr/hal-03403125

An Ontology Alignment Approach Combining Word Embedding and the Radius Measure

Autor: Catherine Faron Zucker, Molka Tounsi Dhouib, Andrea G. B. Tettamanzi

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030332198
SEMANTiCS
Lecture Notes in Computer Science
15th International Conference on Semantic Systems, SEMANTiCS 2019. The Power of AI and Knowledge Graphs
15th International Conference on Semantic Systems, SEMANTiCS 2019. The Power of AI and Knowledge Graphs, Sep 2019, Karlsruhe, Germany. pp.191-197, ⟨10.1007/978-3-030-33220-4_14⟩

Ontology alignment plays a key role in achieving interoperability on the semantic Web. Inspired by the success of word embedding techniques in several NLP tasks, we propose a new ontology alignment approach based on the combination of word embedding

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b7aed7b35e8b6ddda26a923d004dbe7
https://doi.org/10.1007/978-3-030-33220-4_14

Construction d'ontologie pour le domaine du sourcing

Autor: Molka Tounsi Dhouib, Catherine Faron Zucker, Andrea Tettamanzi

Publikováno v: 29es Journées Francophones d'Ingénierie des Connaissances, IC 2018
29es Journées Francophones d'Ingénierie des Connaissances, IC 2018, AFIA, Jul 2018, Nancy, France. pp.137-144
HAL

National audience; Ces dernières années, de nombreuses entreprises s'orientent vers l'intégration du développement d'ontologies au sein de leurs processus pour mieux organiser les connaissances mises en jeu et améliorer les performances de leur

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8a758fc7df0cf6a21e77f63e69ed79da
https://hal.archives-ouvertes.fr/hal-01839575/document

Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019

Autor: Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam, Francesca Alloatti, Glenda Amaral, Martin Beno, Felix Bensmann, Amato, Claudia D., Luigi Asprino, Russa Biswas, Ling Cai, Riley Capshaw, Valentina Anita Carriero, Irene Celino, Amine Dadoun, Stefano de Giorgis, Harm Delva, John Domingue, Michel Dumontier, Vincent Emonet, Marieke van Erp, Paola Espinoza Arias, Omaima Fallatah, Sebastián Ferrada, Marc Gallofré Ocaña, Michalis Georgiou, Genet Asefa Gesese, Frances Gillis-Webber, Francesca Giovannetti, Marìa Granados Buey, Ismail Harrando, Ivan Heibi, Vitor Horta, Laurine Huber, Federico Igne, Mohamad Yaser Jaradeh, Neha Keshan, Aneta Koleva, Bilal Koteich, Kabul Kurniawan, Mengya Liu, Chuangtao Ma, Lientje Maas, Martin Mansfield, Fabio Mariani, Eleonora Marzi, Sepideh Mesbah, Maheshkumar Mistry, Alba Catalina Morales Tirado, Anna Nguyen, Viet Bach Nguyen, Allard Oelen, Valentina Pasqual, Heiko Paulheim, Axel Polleres, Margherita Porena, Jan Portisch, Valentina Presutti, Kader Pustu-Iren, Ariam Rivas Mendez, Soheil Roshankish, Sebastian Rudolph, Harald Sack, Ahmad Sakor, Jaime Salas, Thomas Schleider, Meilin Shi, Gianmarco Spinaci, Chang Sun, Tabea Tietz, Molka Tounsi Dhouib, Alessandro Umbrico, Wouter van Den Berg, Weiqin Xu

Publikováno v: HAL

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6c4b2d64a08553a731bc754906cf835d
https://hal.archives-ouvertes.fr/hal-03111661

A Hybrid Bi-LSTM-CRF Model for Sequence Labeling Applied to the Sourcing Domain

Autor: Hasnaa Daoud, Molka Tounsi Dhouib, Jerôme Rancati, Catherine Faron, Andrea Tettamanzi

Publikováno v: HAL
PFIA-APIA 2020-5ème Conférence Nationale sur les Applications Pratiques de l’Intelligence Artificielle
PFIA-APIA 2020-5ème Conférence Nationale sur les Applications Pratiques de l’Intelligence Artificielle, Jun 2020, Angers, France

National audience; In a number of areas, companies are often faced with the task of dealing with large amounts of textual customers' requests. Automating information extraction like key phrases from customers' requests can help to accelerate the proc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::56b0669345b99ee39007cfd45a53bf13
https://hal.inria.fr/hal-02932095