Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Knowledge Graph Construction 2024 |
| Untertitel | Proceedings of the 5th International Workshop on Knowledge Graph Construction |
| Seitenumfang | 5 |
| Publikationsstatus | Veröffentlicht - 3 Juli 2024 |
| Veranstaltung | 5th International Workshop on Knowledge Graph Construction, KGCW 2024 - Hersonissos, Griechenland Dauer: 27 Mai 2024 → 27 Mai 2024 |
Publikationsreihe
| Name | CEUR Workshop Proceedings |
|---|---|
| Band | 3718 |
| ISSN (Print) | 1613-0073 |
Abstract
The volume of data generated in recent years has increased drastically, necessitating a unified schema to integrate multiple data sources into a single format. The RDF Mapping Language (RML) was developed to define the structure of knowledge graphs (KGs). Over time, various extensions have been introduced to enhance RML’s functionality, creating a need for a new specification that consolidates these extensions. Track 1 of the KGCW 2023 Challenge dataset addresses this need by providing a comprehensive set of test cases to ensure that knowledge graph creation engines comply with the updated RML specification. This paper reports on the conformance evaluation of SDM-RDFizer using this dataset, highlighting its capabilities and areas for improvement in achieving full RML compliance.
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Knowledge Graph Construction 2024: Proceedings of the 5th International Workshop on Knowledge Graph Construction. 2024. (CEUR Workshop Proceedings; Band 3718).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Results for Knowledge Graph Creation Challenge 2024
T2 - 5th International Workshop on Knowledge Graph Construction, KGCW 2024
AU - Iglesias, Enrique
AU - Vidal, Maria Esther
N1 - Publisher Copyright: © 2024 Copyright for this paper by its authors.
PY - 2024/7/3
Y1 - 2024/7/3
N2 - The volume of data generated in recent years has increased drastically, necessitating a unified schema to integrate multiple data sources into a single format. The RDF Mapping Language (RML) was developed to define the structure of knowledge graphs (KGs). Over time, various extensions have been introduced to enhance RML’s functionality, creating a need for a new specification that consolidates these extensions. Track 1 of the KGCW 2023 Challenge dataset addresses this need by providing a comprehensive set of test cases to ensure that knowledge graph creation engines comply with the updated RML specification. This paper reports on the conformance evaluation of SDM-RDFizer using this dataset, highlighting its capabilities and areas for improvement in achieving full RML compliance.
AB - The volume of data generated in recent years has increased drastically, necessitating a unified schema to integrate multiple data sources into a single format. The RDF Mapping Language (RML) was developed to define the structure of knowledge graphs (KGs). Over time, various extensions have been introduced to enhance RML’s functionality, creating a need for a new specification that consolidates these extensions. Track 1 of the KGCW 2023 Challenge dataset addresses this need by providing a comprehensive set of test cases to ensure that knowledge graph creation engines comply with the updated RML specification. This paper reports on the conformance evaluation of SDM-RDFizer using this dataset, highlighting its capabilities and areas for improvement in achieving full RML compliance.
KW - Data Integration System
KW - Knowledge Graph Creation
KW - RDF Mapping Languages
UR - http://www.scopus.com/inward/record.url?scp=85198625660&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85198625660
T3 - CEUR Workshop Proceedings
BT - Knowledge Graph Construction 2024
Y2 - 27 May 2024 through 27 May 2024
ER -