Morph-KGC is an engine that constructs RDF knowledge graphs from heterogeneous data sources with the R2RML and RML mapping languages. Morph-KGC is built on top of pandas and it leverages mapping partitions to significantly reduce execution times and memory consumption for large data sources.

Morph-KGC is an engine that constructs RDF knowledge graphs from heterogeneous data sources with the R2RML and RML mapping languages. Morph-KGC is feature-rich with support for YARRRML, RML-FNML, RML-star, RML views, Python user-defined functions and more!

To run the engine using the command line you just need to execute the following: Morph-KGC can be used as a library, providing different methods to materialize the RDF or RDF-star knowledge graph. It integrates with RDFLib, Oxigraph and Kafka to easily create and work with knowledge graphs in Python.

2025年1月3日 · Morph-KGC is an engine that constructs RDF knowledge graphs from heterogeneous data sources with the R2RML and RML mapping languages. Morph-KGC is built on top of pandas and it leverages mapping partitions to significantly reduce execution times and memory consumption for large data sources.

Morph-KGC is an engine that constructs RDF knowledge graphs from heterogeneous data sources with the R2RML and RML mapping languages. Morph-KGC is built on top of pandas and it leverages mapping partitions to significantly reduce execution times and memory consumption for large data sources.

Our experimental results show that, compared with state-of-the-art techniques, the use of mapping partitions in Morph-KGC presents the following advantages: (i) it decreases significantly the time required for materialization, (ii) it reduces the maximum peak of memory used, and (iii) it scales to data sizes that other engines are not capable of...

Powerful RDF Knowledge Graph Generation with RML Mappings - Releases · morph-kgc/morph-kgc

2024年9月14日 · Morph-KGC 是一个高效的知识图谱构建引擎，能够从异构数据源中生成 RDF 知识图谱。 它支持 R2RML 和 RML 映射语言，并基于 pandas 构建，通过利用 映射分区 技术显著减少了大规模数据源的执行时间和内存消耗。

2024年9月14日 · Morph-KGC 是一个强大的开源引擎，用于从异构数据源构建 RDF（Resource Description Framework）知识图谱。 它支持 R2RML 和 RML 映射语言，能够处理多种数据格式，包括关系数据库、表格文件、层级文件以及内存数据结构。

2024年6月9日 · Morph-KGC正是这样一款强大的工具，它通过R2RML和RML映射语言，将各种异构数据源转化为符合RDF标准的知识图谱。 这款基于 pandas 构建的引擎，利用了“映射分区”技术，大大提升了处理大规模数据的效率，并降低了内存消耗。