Assisted Knowledge Graph Authoring: Human-Supervised Knowledge Graph Construction from Natural Language
Computation and Language
2024-01-17 v1
Abstract
Encyclopedic knowledge graphs, such as Wikidata, host an extensive repository of millions of knowledge statements. However, domain-specific knowledge from fields such as history, physics, or medicine is significantly underrepresented in those graphs. Although few domain-specific knowledge graphs exist (e.g., Pubmed for medicine), developing specialized retrieval applications for many domains still requires constructing knowledge graphs from scratch. To facilitate knowledge graph construction, we introduce WAKA: a Web application that allows domain experts to create knowledge graphs through the medium with which they are most familiar: natural language.
Keywords
Cite
@article{arxiv.2401.07683,
title = {Assisted Knowledge Graph Authoring: Human-Supervised Knowledge Graph Construction from Natural Language},
author = {Marcel Gohsen and Benno Stein},
journal= {arXiv preprint arXiv:2401.07683},
year = {2024}
}
Comments
accepted at CHIIR 2024