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https://github.com/oeg-upm/lubm4obda
Inference and Meta Knowledge Benchmarking of OBDA Systems
https://github.com/oeg-upm/lubm4obda
knowledge-graph obda owl r2rml rdf rdf-star rml sparql sparql-star
Last synced: 3 months ago
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Inference and Meta Knowledge Benchmarking of OBDA Systems
- Host: GitHub
- URL: https://github.com/oeg-upm/lubm4obda
- Owner: oeg-upm
- License: mit
- Created: 2022-02-21T15:04:56.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-05-16T22:29:31.000Z (9 months ago)
- Last Synced: 2024-08-03T18:16:02.444Z (6 months ago)
- Topics: knowledge-graph, obda, owl, r2rml, rdf, rdf-star, rml, sparql, sparql-star
- Language: Python
- Homepage: https://doi.org/10.5281/zenodo.7110221
- Size: 6.47 MB
- Stars: 3
- Watchers: 6
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.cff
Awesome Lists containing this project
- awesome-kgc-tools - LUBM4OBDA - OBDA benchmark for inference and meta knowledge evaluation. (KGC Evaluation / Previous RML version (and extensions))
README
[](https://doi.org/10.5281/zenodo.7110221)
**The LUBM4OBDA Benchmark** is an extension of the popular **[LUBM Benchmark](http://swat.cse.lehigh.edu/projects/lubm/)** to evaluate Ontology-Based Data Access (OBDA) engines over relational databases. In addition, LUBM4OBDA considers meta knowledge (also called reification or statement-level metadata) benchmarking. The main characteristics of LUBM4OBDA are:
- SQL data dumps for **[MySQL](https://www.mysql.com/)** and **[PostgreSQL](https://www.postgresql.org/)**.
- Data generator for custom scaling factors.
- Original **[LUBM query set](http://swat.cse.lehigh.edu/projects/lubm/queries-sparql.txt)** (queries 1-14).
- Meta knowledge query set for [_standard reification_](https://www.w3.org/TR/rdf-primer/#reification), [_singleton property_](https://dl.acm.org/doi/pdf/10.1145/2566486.2567973) and [_SPARQL-star_](https://w3c.github.io/rdf-star/cg-spec/2021-12-17.html#sparql-star) (queries 15-18).
- **[R2RML](https://www.w3.org/TR/r2rml/)** and **[RML](http://w3id.org/rml/portal/)** mappings.
**Citing LUBM4OBDA**: please cite the **[JWE paper](https://journals.riverpublishers.com/index.php/JWE/article/view/18845)**:
```bib
@article{arenas2024lubm4obda,
title = {{LUBM4OBDA: Benchmarking OBDA Systems with Inference and Meta Knowledge}},
author = {Arenas-Guerrero, Julián and Pérez, María S. and Corcho, Oscar},
journal = {Journal of Web Engineering},
publisher = {River Publishers},
issn = {1544-5976},
year = {2024},
volume = {22},
number = {8},
pages = {1163–1186},
doi = {10.13052/jwe1540-9589.2284}
}
```
## Data
There are two options to obtain the SQL data dumps:
- Download the SQL data dumps for scaling factors 1, 10, 100 and 1000 from **[Zenodo](https://doi.org/10.5281/zenodo.7110221)**.
- Use the **[Docker](https://github.com/oeg-upm/lubm4obda/tree/main/generator#build-and-run-the-data-generator-image-locally)** container with the data generator to produce the data with **custom** scaling factors.
## Mappings
The **[mappings](https://github.com/oeg-upm/lubm4obda/tree/main/mappings)** directory of this GitHub repository contains all the R2RML and RML documents. The following mappings are provided:
- **[R2RML](https://github.com/oeg-upm/lubm4obda/tree/main/mappings/r2rml)**:
- [Original](https://github.com/oeg-upm/lubm4obda/blob/main/mappings/r2rml/lubm4obda.r2rml.ttl), without meta knowledge.
- [Standard reification](https://github.com/oeg-upm/lubm4obda/blob/main/mappings/r2rml/lubm4obda-reification.r2rml.ttl).
- [Singleton property](https://github.com/oeg-upm/lubm4obda/blob/main/mappings/r2rml/lubm4obda-singleton-property.r2rml.ttl).
- [R2RML-star](https://github.com/oeg-upm/lubm4obda/blob/main/mappings/r2rml/lubm4obda-star.r2rml.ttl).
- **[RML](https://github.com/oeg-upm/lubm4obda/tree/main/mappings/rml)**:
- [Original](https://github.com/oeg-upm/lubm4obda/blob/main/mappings/rml/lubm4obda.rml.ttl), without meta knowledge.
- [Standard reification](https://github.com/oeg-upm/lubm4obda/blob/main/mappings/rml/lubm4obda-reification.rml.ttl).
- [Singleton property](https://github.com/oeg-upm/lubm4obda/blob/main/mappings/rml/lubm4obda-singleton-property.rml.ttl).
- [RML-star](https://github.com/oeg-upm/lubm4obda/blob/main/mappings/rml/lubm4obda-star.rml.ttl).
## Ontology
The **Univ-Bench ontology** is available in the **[ontology](https://github.com/oeg-upm/lubm4obda/blob/main/ontology/univ-bench.owl)** directory of this GitHub repository.
## Queries
The queries are available in the **[queries](https://github.com/oeg-upm/lubm4obda/tree/main/queries)** directory of this GitHub repository. Keep in mind that **original** mappings should be used for **queries 1-14**. There are three different versions of **queries 15-18**, one for each meta knowledge approach (standard reification, singleton property or RDF-star), with each approach having its corresponding mapping.
## CSV & Apache Parquet
It is also possible to run the benchmark with **CSV** and **Apache Parquet** files. The resources for these data sources are available in [Zenodo](https://zenodo.org/doi/10.5281/zenodo.7389704) and they have been described in an **[ESWC paper](https://2023.eswc-conferences.org/wp-content/uploads/2023/05/paper_Arenas-Guerrero_2023_Boosting.pdf)**.