DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials-Reference-Cited by-同舟云学术

DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials

Published:2023-03-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
language:
Short-container-title:

Author:

Ihsan Ahmad Zainul¹^ORCID,Fathalla Said¹²^ORCID,Sandfeld Stefan¹³^ORCID

Affiliation:

1. Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9), Forschungszentrum Jülich, Jülich, Germany

2. Faculty of Science, University of Alexandria, Alexandria, Egypt

3. Faculty of Georesources and Materials Engineering, RWTH Aachen University, Aachen, Germany

Funder

European Research Council (ERC)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3555776.3578739

Reference36 articles.

1. Enabling strain hardening simulations with dislocation dynamics;Arsenlis Athanasios;Modelling and Simulation in Materials Science and Engineering,2007

2. Materials ontology: An infrastructure for exchanging materials information and knowledge;Ashino Toshihiro;Data Science Journal,2010

3. Diego Berrueta , Sergio Fernández , and Iván Frade . 2008 . Cooking HTTP content negotiation with Vapour . In Proceedings of 4th Workshop on Scripting for the Semantic Web (SFSW2008) , Vol. 72 . Citeseer. Diego Berrueta, Sergio Fernández, and Iván Frade. 2008. Cooking HTTP content negotiation with Vapour. In Proceedings of 4th Workshop on Scripting for the Semantic Web (SFSW2008), Vol. 72. Citeseer.

4. Carl Boettiger. 2018. rdflib: A high level wrapper around the redland package for common rdf applications. 10.5281/zenodo.1098478 Carl Boettiger. 2018. rdflib: A high level wrapper around the redland package for common rdf applications. 10.5281/zenodo.1098478

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Leveraging Semantic Technologies for Collaborative Inference of Threatening IoT Dependencies;ACM SIGAPP Applied Computing Review;2023-09

2. Inferring Threatening IoT Dependencies using Semantic Digital Twins Toward Collaborative IoT Device Management;Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing;2023-03-27