PG2RDF: Schema-Guided Transformation of Property Graphs to RDF

PG2RDF is a framework for transforming Property Graphs (PG), stored in Neo4j, into RDF representations using a schema-guided approach.

It integrates:

• PG-HIVE for schema discovery
• X3ML Engine and RMLMapper for RDF transformation

enabling automated, structured, and semantically consistent conversion of graph data into Knowledge Graphs.

---

Requirements

• Java 11+
• Scala 2.12+
• Apache Spark
• Neo4j (Community Edition recommended)
• X3ML Engine (x3ml-engine.jar)
• RMLMapper (rmlmapper.jar)

---

Installation

1. Clone the Repository

git clone https://github.com/sophisid/PG2RDF.git
cd PG2RDF

2. Build the Project

cd pg2rdf
sbt compile

---

Usage

After setting up Neo4j and ensuring your dataset is loaded:

cd pg2rdf
sbt run

The pipeline will:

• extract schema from the graph
• generate mappings
• produce XML
• convert to RDF
• store results in the output directories

---

Testing & Benchmark

To evaluate PG2RDF, we recommend using the datasets in PG-SB benchmark.

• Repository: https://github.com/sophisid/PG-SB
• DOI: https://doi.org/10.5281/zenodo.17801335

---

Transformation to RDF

Using X3ML

X3MLBatchRunner.runX3MLBatch(
  inputFolder     = "output_xml",
  x3mlMapping     = "output_mappings.x3ml",
  policyFile      = "generator-policies.xml",
  x3mlEngineJar   = "path/to/x3ml-engine.jar",
  outputFolder    = "output_trig"
)

Using RML

RMLBatchRunner.runRMLBatch(
   spark,
   inputFolder = "output_xml",
   rmlMapping = "output_mappings_rml.ttl",
   rmlMapperJar = "path/to/rmlmapper.jar",
   outputFolder = "output_trig_rml",
   numPartitions = 2
)

---

Citation

To cite our work, please use:

@inproceedings{DBLP:conf/jist/SideriEPK25,
  author       = {Sophia Sideri and
                  Vasilis Efthymiou and
                  Dimitris Plexousakis and
                  Haridimos Kondylakis},
  title        = {{PG2RDF:} Schema-Guided Transformation of Property Graphs to {RDF}},
  booktitle    = {Knowledge Graphs - 14th International Joint Conference, {IJCKG} 2025,
                  Heraklion, Crete, Greece, October 15-17, 2025, Proceedings},
  series       = {Lecture Notes in Computer Science},
  pages        = {358--373},
  publisher    = {Springer},
  year         = {2025},
  url          = {https://doi.org/10.1007/978-981-95-5009-8\_24},
  doi          = {10.1007/978-981-95-5009-8\_24},
  biburl       = {https://dblp.org/rec/conf/jist/SideriEPK25.bib}
}