Enhancing Data Space Semantic Interoperability through Machine Learning: a Visionary Perspective-Reference-Cited by-同舟云学术

Enhancing Data Space Semantic Interoperability through Machine Learning: a Visionary Perspective

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2023
language:
Short-container-title:

Author:

Boukhers Zeyd¹^ORCID,Lange Christoph²^ORCID,Beyan Oya³^ORCID

Affiliation:

1. Fraunhofer Institute for Applied Information Technology, Germany and Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany

2. Fraunhofer Institute for Applied Information Technology, Germany and RWTH Aachen University, Germany

3. Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany and Fraunhofer Institute for Applied Information Technology, Germany

Funder

The German Federal Ministry of Education and Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543873.3587658

Reference30 articles.

1. Survey on Anomaly Detection using Data Mining Techniques

2. Automated detection of unstructured context-dependent sensitive information using deep learning

3. Vladimir Alexiev. 2022. Data Spaces vs Knowledge Graphs. In Data Spaces & Semantic Interoperability Workshop. TRUSTS Trusted secure data sharing space.

4. Alexandre Bento, Amal Zouaq, and Michel Gagnon. 2020. Ontology matching using convolutional neural networks. In Proceedings of the Twelfth Language Resources and Evaluation Conference. 5648–5653.

5. Vision and natural language for metadata extraction from scientific PDF documents

Cited by 3 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. Inovacije v arhitekturah podatkovnih prostorov;OTS 2024 Sodobne informacijske tehnologije in storitve: Zbornik 27. konference;2024-09-03

2. Market Analysis of a Data Platform in the European Data Ecosystem;IFIP Advances in Information and Communication Technology;2024

3. Data Trading and Monetization: Challenges and Open Research Directions;Proceedings of the 7th International Conference on Future Networks and Distributed Systems;2023-12-21