arango-rdf 0.9.0

Convert ArangoDB graphs to RDF & vice-versa.

ArangoRDF

Convert RDF Graphs to ArangoDB, and vice-versa.

About RDF

RDF is a standard model for data interchange on the Web. RDF has features that facilitate data merging even if the underlying schemas differ, and it specifically supports the evolution of schemas over time without requiring all the data consumers to be changed.

RDF extends the linking structure of the Web to use URIs to name the relationship between things as well as the two ends of the link (this is usually referred to as a "triple"). Using this simple model, it allows structured and semi-structured data to be mixed, exposed, and shared across different applications.

This linking structure forms a directed, labeled graph, where the edges represent the named link between two resources, represented by the graph nodes. This graph view is the easiest possible mental model for RDF and is often used in easy-to-understand visual explanations.

Resources to get started:

• RDF Primer
• RDFLib (Python)
• One Example for Modeling RDF as ArangoDB Graphs

Installation

Latest Release

pip install arango-rdf

Current State

pip install git+https://github.com/ArangoDB-Community/ArangoRDF

Quickstart

from rdflib import Graph
from arango import ArangoClient
from arango_rdf import ArangoRDF

db = ArangoClient().db()

adbrdf = ArangoRDF(db)

def beatles():
    g = Graph()
    g.parse("https://raw.githubusercontent.com/ArangoDB-Community/ArangoRDF/main/tests/data/rdf/beatles.ttl", format="ttl")
    return g

RDF to ArangoDB

Note: RDF-to-ArangoDB functionality has been implemented using concepts described in the paper Transforming RDF-star to Property Graphs: A Preliminary Analysis of Transformation Approaches. So we offer two transformation approaches:

1. RDF-Topology Preserving Transformation (RPT)
2. Property Graph Transformation (PGT)

# 1. RDF-Topology Preserving Transformation (RPT)
adbrdf.rdf_to_arangodb_by_rpt(name="BeatlesRPT", rdf_graph=beatles(), overwrite_graph=True)

# 2. Property Graph Transformation (PGT) 
adbrdf.rdf_to_arangodb_by_pgt(name="BeatlesPGT", rdf_graph=beatles(), overwrite_graph=True)

ArangoDB to RDF

# pip install arango-datasets
from arango_datasets import Datasets

name = "OPEN_INTELLIGENCE_ANGOLA"
Datasets(db).load(name)

# 1. Graph to RDF
rdf_graph = adbrdf.arangodb_graph_to_rdf(name, rdf_graph=Graph())

# 2. Collections to RDF
rdf_graph_2 = adbrdf.arangodb_collections_to_rdf(
    name,
    rdf_graph=Graph(),
    v_cols={"Event", "Actor", "Source"},
    e_cols={"eventActor", "hasSource"},
)

# 3. Metagraph to RDF
rdf_graph_3 = adbrdf.arangodb_to_rdf(
    name=name,
    rdf_graph=Graph(),
    metagraph={
        "vertexCollections": {
            "Event": {"date", "description", "fatalities"},
            "Actor": {"name"}
        },
        "edgeCollections": {
            "eventActor": {}
        },
    },
)

Development & Testing

1. git clone https://github.com/ArangoDB-Community/ArangoRDF
2. cd arango-rdf
3. (create virtual environment of choice)
4. pip install -e .[dev]
5. (create an ArangoDB instance with method of choice)
6. pytest --url <> --dbName <> --username <> --password <>

Note: A pytest parameter can be omitted if the endpoint is using its default value:

def pytest_addoption(parser):
    parser.addoption("--url", action="store", default="http://localhost:8529")
    parser.addoption("--dbName", action="store", default="_system")
    parser.addoption("--username", action="store", default="root")
    parser.addoption("--password", action="store", default="")