Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Genet Asefa Gesese"'
Publikováno v:
Scientometrics, 127 (8), 4887–4912
Scholarly data is growing continuously containing information about the articles from a plethora of venues including conferences, journals, etc. Many initiatives have been taken to make scholarly data available in the form of Knowledge Graphs (KGs).
Publikováno v:
Proceedings of the 11th International Joint Conference on Knowledge Graphs.
Due to the open world assumption, Knowledge Graphs (KGs) are never complete. In order to address this issue, various Link Prediction (LP) methods are proposed so far. Some of these methods are inductive LP models which are capable of learning represe
Autor:
Yiyi Chen, Russa Biswas, Danilo Dessì, Fabian Hoppe, Mehwish Alam, Harald Sack, Genet Asefa Gesese
Publikováno v:
WWW (Companion Volume)
A huge number of scholarly articles published every day in different domains makes it hard for the experts to organize and stay updated with the new research in a particular domain. This study gives an overview of a new approach, HierClasSArt, for kn
This book constitutes the refereed proceedings of the 24th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2024, held in Amsterdam, The Netherlands, during November 26–28, 2024. The 28 full papers presented together
Publikováno v:
The Semantic Web – ISWC 2021 ISBN: 9783030883607
ISWC
ISWC
In order to transform a Knowledge Graph (KG) into a low dimensional vector space, it is beneficial to preserve as much semantics as possible from the different components of the KG. Hence, some link prediction approaches have been proposed so far whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f62d4ac8cc370ba001e51bb7ace85f60
https://doi.org/10.1007/978-3-030-88361-4_30
https://doi.org/10.1007/978-3-030-88361-4_30
Knowledge Graphs (KGs) are composed of structured information about a particular domain in the form of entities and relations. In addition to the structured information KGs help in facilitating interconnectivity and interoperability between different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fe16b12be469feff25fd6efebb8fa19
http://arxiv.org/abs/1910.12507
http://arxiv.org/abs/1910.12507
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
https://hal.archives-ouvertes.fr/hal-03111661