Details
| Original language | English |
|---|---|
| Pages (from-to) | 205-229 |
| Number of pages | 25 |
| Journal | Semantic Web |
| Volume | 10 |
| Issue number | 2 |
| Publication status | Published - 21 Jan 2019 |
Abstract
The maintenance and use of metadata such as provenance and time-related information is of increasing importance in the Semantic Web, especially for Big Data applications that work on heterogeneous data from multiple sources and which require high data quality. In an RDF dataset, it is possible to store metadata alongside the actual RDF data and several possible metadata representation models have been proposed. However, there is still no in-depth comparative evaluation of the main representation alternatives on both the conceptual level and the implementation level using different graph backends. In order to help to close this gap, we introduce major use cases and requirements for storing and using diverse kinds of metadata. Based on these requirements, we perform a detailed comparison and benchmark study for different RDF-based metadata representations, including a new approach based on so-called companion properties. The benchmark evaluation considers two datasets and evaluates different representations for three popular RDF stores.
Keywords
- Evaluation, Metadata, RDF, Reification
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Computer Networks and Communications
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In: Semantic Web, Vol. 10, No. 2, 21.01.2019, p. 205-229.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Evaluation of metadata representations in RDF stores
AU - Frey, Johannes
AU - Müller, Kay
AU - Hellmann, Sebastian
AU - Rahm, Erhard
AU - Vidal, Maria Esther
N1 - Funding information: This work was supported by grants from the Federal Ministry for Economic Affairs and Energy of Germany (BMWi) for the SmartDataWeb Project (GA-01MD15010B),38 as well as from the European Union for the Horizon 2020 project ALIGNED (GA-644055).
PY - 2019/1/21
Y1 - 2019/1/21
N2 - The maintenance and use of metadata such as provenance and time-related information is of increasing importance in the Semantic Web, especially for Big Data applications that work on heterogeneous data from multiple sources and which require high data quality. In an RDF dataset, it is possible to store metadata alongside the actual RDF data and several possible metadata representation models have been proposed. However, there is still no in-depth comparative evaluation of the main representation alternatives on both the conceptual level and the implementation level using different graph backends. In order to help to close this gap, we introduce major use cases and requirements for storing and using diverse kinds of metadata. Based on these requirements, we perform a detailed comparison and benchmark study for different RDF-based metadata representations, including a new approach based on so-called companion properties. The benchmark evaluation considers two datasets and evaluates different representations for three popular RDF stores.
AB - The maintenance and use of metadata such as provenance and time-related information is of increasing importance in the Semantic Web, especially for Big Data applications that work on heterogeneous data from multiple sources and which require high data quality. In an RDF dataset, it is possible to store metadata alongside the actual RDF data and several possible metadata representation models have been proposed. However, there is still no in-depth comparative evaluation of the main representation alternatives on both the conceptual level and the implementation level using different graph backends. In order to help to close this gap, we introduce major use cases and requirements for storing and using diverse kinds of metadata. Based on these requirements, we perform a detailed comparison and benchmark study for different RDF-based metadata representations, including a new approach based on so-called companion properties. The benchmark evaluation considers two datasets and evaluates different representations for three popular RDF stores.
KW - Evaluation
KW - Metadata
KW - RDF
KW - Reification
UR - http://www.scopus.com/inward/record.url?scp=85060921183&partnerID=8YFLogxK
U2 - 10.3233/SW-180307
DO - 10.3233/SW-180307
M3 - Article
AN - SCOPUS:85060921183
VL - 10
SP - 205
EP - 229
JO - Semantic Web
JF - Semantic Web
SN - 1570-0844
IS - 2
ER -