Java Binding for JSON-LD

Martin Ledvinka

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Paper

Java Binding for JSON-LD

Topics: Linked Data, Big Data and Applications in Companies; Semantic Interoperability

In Proceedings of the 19th International Conference on Web Information Systems and Technologies WEBIST - Volume 1, 207-214, 2023 , Rome, Italy

Author: Martin Ledvinka

Affiliation: Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, Prague 6 - Dejvice, Czech Republic

Keyword(s): JSON-LD, Java, REST API, Object Model.

Abstract: JSON-LD is an easy-to-understand and use data format with a Linked Data background. As such, it is one of the most approachable Semantic Web technologies. Moreover, it can bring major benefits even to applications not primarily based on the Semantic Web, especially regarding their interoperability. This work presents JB4JSON-LD – a software library allowing seamless integration of JSON-LD into REST APIs of Java Web applications without having to deal with individual nodes of the JSON-LD graph. The library is compared to existing alternatives and a demo application as well as a real-world information system are used to illustrate its use.

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Paper citation in several formats:

Ledvinka, M. (2023). Java Binding for JSON-LD. In Proceedings of the 19th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-672-9; ISSN 2184-3252, SciTePress, pages 207-214. DOI: 10.5220/0012168500003584

@conference{webist23,
author={Martin Ledvinka.},
title={Java Binding for JSON-LD},
booktitle={Proceedings of the 19th International Conference on Web Information Systems and Technologies - WEBIST},
year={2023},
pages={207-214},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012168500003584},
isbn={978-989-758-672-9},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Web Information Systems and Technologies - WEBIST
TI - Java Binding for JSON-LD
SN - 978-989-758-672-9
IS - 2184-3252
AU - Ledvinka, M.
PY - 2023
SP - 207
EP - 214
DO - 10.5220/0012168500003584
PB - SciTePress