LD2NL

About

This project aims at delivering a framework for converting Linked Data related concepts to Natural language.

Structure

LD2NL currently consists of the following modules:

1. Avatar - Entity summarization
2. SPARQL2NL - Convert SPARQL queries into natural language
3. Triple2NL - Convert triples into natural language
4. OWL2NL - Convert OWL into natural language
5. Evaluation
6. Controller

Each module has its own README.md file.

Compile LD2NL

mvn -T 1C clean install test

Support and Feedback

If you need help or you have questions do not hesitate to write an issue in the right sidebar.

How to cite

@InProceedings{Ngonga2019,
  author       = {Axel-Cyrille {Ngonga Ngomo}, Diego Moussallem and Lorenz Bühman},
  title        = {{A Holistic Natural Language Generation Framework for the Semantic Web}},
  booktitle    = {Proceedings of the International Conference Recent Advances in Natural Language Processing},
  year         = {2019},
  pages        = {8},
  organization={ACL (Association for Computational Linguistics)}
}