Details
| Original language | English |
|---|---|
| Title of host publication | Knowledge Graph Construction 2024 |
| Subtitle of host publication | Proceedings of the 5th International Workshop on Knowledge Graph Construction |
| Number of pages | 5 |
| Publication status | Published - 3 Jul 2024 |
| Event | 5th International Workshop on Knowledge Graph Construction, KGCW 2024 - Hersonissos, Greece Duration: 27 May 2024 → 27 May 2024 |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Volume | 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.
Keywords
- Data Integration System, Knowledge Graph Creation, RDF Mapping Languages
ASJC Scopus subject areas
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Knowledge Graph Construction 2024: Proceedings of the 5th International Workshop on Knowledge Graph Construction. 2024. (CEUR Workshop Proceedings; Vol. 3718).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › 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 -