awesome-kgc-tools

Benchmark for evaluating automated approaches to generate mapping rules between ontologies and (semi)structured data sources

Excel spreadsheet generator for evaluating KG construction.

Benchmark to evaluate performance & scalability of declarative KG construction engines.

A Benchmark for RDF Graph Materialization

OBDA benchmark for inference and meta knowledge evaluation.

Dataset to test simple and complex mapping operations in RML.

An extensible RML processor to generate RDF knowledge graphs from heterogeneous data sources.

Framework based on Apache Camel to define composable semantic data transformation pipelines (lifting/lowering to/from RDF)

A Memory-Efficient Interpreter for RML written in C++.

A framework based on plugins for generate and manipulate RDF knowledge graphs with RML or a custom mapping language based on

R2RML, RML and RML-star processor to generate RDF and RDF-star knowledge graphs from heterogeneous data sources at scale.

Implementation of the xR2RML mapping language (extending R2RML and reusing RML terms) for MongoDB databases. Can be used to map JSON data but also any format that can be imported in MongoDB, in particular CSV/TSV. Was used in different projects to produce 2.4 billion triples so far.

Target, a formal model and a common representation for specifying how a Knowledge Graph should be exported to a given target

Function Ontology (FnO), a way to semantically declare and describe implementation-independent functions, and their relations to related concepts such as parameters, outputs, related problems, algorithms, mappings to concrete implementations, and executions.

J2RM mappings and its engine compose a tool to process mappings from JSON data to RDF triples guided by an OWL2 ontology structure.

The RDF Mapping Language (RML) is a mapping language defined to express customized mapping rules from heterogeneous data structures and serializations to the RDF data model.

Modular redesign of the RML mapping language including support for collections and containers, input/output, rdf-star, and functions.

Alignment between RML and Target to describe how your knowledge graph should be exported to one or multiple targets.

An efficient RML+FnO-compliant engine for translating and executing complex functions in RML mapping rules and transfer the data integration system into a function-free one.

A computational block to solve entity alignment over textual attributes in a knowledge graph creation pipeline.

RMLMapper extension to support Excel spreadsheets.

Efficient preprocessing of transformation rules described in RML+FnO mappings.

Preprocessor of RML-LV that materializes RML Logical Views as JSON files and produces an adapted mapping that can be processed by any RML engine supporting RML-Core.

A web-base playground to edit and use RML mappings and custom Freemarker-based mappings.

Jigsaw Puzzles for Representing Mappings

A web-based editor for visually creating R2RML mappings in order to create RDF from databases, spreadsheets, delimited text files, XML, JSON, KML and Web APIs according to an ontology of the user's choice.

A web-based editor for visual ontology mapping for R2RML documents (DEPRECATED)

Matey is a web based editor for YARRRML rules.

RMLEditor offers a Graphical User Interface to enable data publishers, who are domain experts, to model knowledge derived from heterogeneous distributed data.

A suite of software artifacts to automate the creation of KGs from heterogeneous data sources.

Collaborative platform for automating the mapping development lifecycle: from conceptual mapping alignment through RML implementation to quality assurance (SPARQL/SHACL validation, test-driven mapping).

Paper

An API and Web application for extracting subgraphs of interest from Wikidata based on user-input seed entities, to bootstrap a new KG.

From Excel-based mappings to [R2]RML mappings.

JavaScript engine that translates from YARRRML/RML/R2RML to YARRRML/RML/R2RML

Python engine, translating from YARRRML/RML/R2RML to YARRRML/RML/R2RML with support for RML-star and easy-to-read outputs