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https://github.com/Remixman/Vedas

graph-database knowledge-graph rdf sparql

Last synced: 3 months ago
JSON representation

Host: GitHub
URL: https://github.com/Remixman/Vedas
Owner: Remixman
License: other
Created: 2019-09-17T05:45:15.000Z (almost 5 years ago)
Default Branch: master
Last Pushed: 2024-03-26T05:49:17.000Z (4 months ago)
Last Synced: 2024-03-26T06:46:56.597Z (4 months ago)
Topics: graph-database, knowledge-graph, rdf, sparql
Language: Cuda
Homepage:
Size: 311 KB
Stars: 7
Watchers: 3
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Lists

awesome-semantic-web - Vedas - (OS) VEDAS is a RDF store engine that be able to query with SPARQL and run on single GPU. (Databases / Data Cube extensions)
repo-5491-awesome-semantic-web - Vedas - (OS) VEDAS is a RDF store engine that be able to query with SPARQL and run on single GPU. (Databases / Data Cube extensions)
awesome-semantic-web - Vedas - (OS) VEDAS is a RDF store engine that be able to query with SPARQL and run on single GPU. (Databases / Data Cube extensions)

README

        # VEDAS

**VEDAS** is a RDF store engine that be able to query with SPARQL and run on single GPU. 

## Dependencies

- ModernGPU

- Thrust

- [Raptor RDF Syntax Library](http://librdf.org/raptor/INSTALL.html)

- [Rasqal RDF Query Library](http://librdf.org/rasqal/INSTALL.html)

## Build

```bash

make

```

## Build the VEDAS database

First, you should prepare the RDF data in N-triple format or .nt extension. **vdBuild** is used for load the triple data into VEDAS internal format

```bash

./vdBuild  

```

For example

```bash

./vdBuild watdiv500M /home/username/data/watdiv/watdiv.500M.nt

```

The internal database file .vdd and .vds will be generated.

## Query RDF data

VEDAS support query only from file. The **vdQuery** is the query engine that load the RDF data and wait for the input file.

```bash

./vdQuery 

```

The prompt will shown after finish loaded data. To submit the query, use command *sparql * and *exit* to terminate the program.

You can use *-sparql-path* option to speccify the sparql file path.

```bash

./vdQuery  -sparql-path=

```

## Visualize the RDF Graph

After load the database with **vdBuild**, it will construct the graph vertex and edge files, named *tools/nodes.txt* and *edges/nodes.txt*. You can generate the GraphML file with the following command

```bash

cd tools

pip install -r requirements.txt

python graphml.py

```

The output file *triple-data.graphml* can opened with any supported software e.g. Graphia, Gephi etc.

## BibTeX

```

@Article{vedas2021,

  author={Makpaisit, Pisit and Chantrapornchai, Chantana},

  title={VEDAS: an efficient GPU alternative for store and query of large RDF data sets},

  journal={Journal of Big Data},

  year={2021},

  month={Sep},

  day={16},

  volume={8},

  number={1},

  pages={125},

  issn={2196-1115},

  doi={10.1186/s40537-021-00513-y},

  url={https://doi.org/10.1186/s40537-021-00513-y}

}

```

```

@article{makpisit2023sparql,

  title={SPARQL Query Optimizations for GPU RDF Stores},

  author={Makpisit, Pisit and others},

  journal={ECTI Transactions on Computer and Information Technology (ECTI-CIT)},

  volume={17},

  number={2},

  pages={235--244},

  year={2023}

}

```