ML Anthology

A User Interface for Exploring and Querying Knowledge Graphs (Extended Abstract)

Hernán Vargas, Carlos Buil-Aranda, Aidan Hogan, Claudia López
IJCAI 2020 pp. 4785-4789
doi:10.24963/IJCAI.2020/666 /ijcai/2020/vargas2020ijcai-user/

Abstract

As the adoption of knowledge graphs grows, more and more non-experts users need to be able to explore and query such graphs. These users are not typically familiar with graph query languages such as SPARQL, and may not be familiar with the knowledge graph's structure. In this extended abstract, we provide a summary of our work on a language and visual interface -- called RDF Explorer -- that help non-expert users to navigate and query knowledge graphs. A usability study over Wikidata shows that users successfully complete more tasks with RDF Explorer than with the existing Wikidata Query Helper interface.

PDF IJCAI Semantic Scholar

Cite

Text

Vargas et al. "A User Interface for Exploring and Querying Knowledge Graphs (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2020. doi:10.24963/IJCAI.2020/666

Markdown

[Vargas et al. "A User Interface for Exploring and Querying Knowledge Graphs (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2020.](https://mlanthology.org/ijcai/2020/vargas2020ijcai-user/) doi:10.24963/IJCAI.2020/666

BibTeX

@inproceedings{vargas2020ijcai-user,
  title     = {{A User Interface for Exploring and Querying Knowledge Graphs (Extended Abstract)}},
  author    = {Vargas, Hernán and Buil-Aranda, Carlos and Hogan, Aidan and López, Claudia},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2020},
  pages     = {4785-4789},
  doi       = {10.24963/IJCAI.2020/666},
  url       = {https://mlanthology.org/ijcai/2020/vargas2020ijcai-user/}
}