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Authors: Markus Schröder 1 ; 2 ; Michael Schulze 1 ; 2 ; Christian Jilek 1 ; 2 and Andreas Dengel 1 ; 2

Affiliations: 1 Computer Science Dept., TU Kaiserslautern, Germany ; 2 Smart Data & Knowledge Services Dept., DFKI GmbH, Kaiserslautern, Germany

Keyword(s): Database Generator, Resource Description Framework, Relational Database, Create Read Update Delete, Representational State Transfer, Application Programming Interface.

Abstract: Despite great advances in the area of Semantic Web, industry rather seldom adopts Semantic Web technologies and their storage and query approaches. Instead, relational databases (RDB) are often deployed to store business-critical data, which are accessed via REST interfaces. Yet, some enterprises would greatly benefit from Semantic Web related datasets which are usually represented with the Resource Description Framework (RDF). To bridge this technology gap, we propose a fully automatic approach that generates suitable RDB models with REST APIs to access them. In our evaluation, generated databases from different RDF datasets are examined and compared. Our findings show that the databases sufficiently reflect their counterparts while the API is able to reproduce rather simple SPARQL queries. Potentials for improvements are identified, for example, the reduction of data redundancies in generated databases.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Schröder, M.; Schulze, M.; Jilek, C. and Dengel, A. (2021). Bridging the Technology Gap between Industry and Semantic Web: Generating Databases and Server Code from RDF. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-484-8; ISSN 2184-433X, SciTePress, pages 507-514. DOI: 10.5220/0010186005070514

@conference{icaart21,
author={Markus Schröder. and Michael Schulze. and Christian Jilek. and Andreas Dengel.},
title={Bridging the Technology Gap between Industry and Semantic Web: Generating Databases and Server Code from RDF},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2021},
pages={507-514},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010186005070514},
isbn={978-989-758-484-8},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Bridging the Technology Gap between Industry and Semantic Web: Generating Databases and Server Code from RDF
SN - 978-989-758-484-8
IS - 2184-433X
AU - Schröder, M.
AU - Schulze, M.
AU - Jilek, C.
AU - Dengel, A.
PY - 2021
SP - 507
EP - 514
DO - 10.5220/0010186005070514
PB - SciTePress