UpKG: A Framework to Insert New Domains in Knowledge Graphs

Jesamin Zevallos-Quispe, André Regino, Víctor Jesús Sotelo Chico, Víctor Hochgreb de Freitas, Julio Reis

2023

Abstract

In recent years, the creation of Knowledge Graphs (KGs) has advanced significantly. They have become essential in several domains, such as e-commerce. E-commerce applications apply them in the search and recommendation of products and virtual chatbots, among other tasks. However, e-commerce must constantly cover new domains/categories to respond to new user needs. This process requires rigorous analysis to cover new domains, adding novel knowledge not stored in the KG. This study proposes, builds, and evaluates a framework we named UpKG to insert new domains in existing KGs within an e-commerce context. Our approach relies on questions and answers collected in the real-world context of the GoBots company to facilitate the new domain insertion process. Our framework was applied in GoBots company, specialized in e-commerce solutions in Latin America. The conducted case was on an existing KG, whose triples were dominated by the Automobile domain. Our work covered and inserted novel triples concerning the Appliances domain. The conducted evaluation shows that we can verify the feasibility and applicability of the UpKG framework.

Paper Citation

in Harvard Style

Zevallos-Quispe J., Regino A., Jesús Sotelo Chico V., Hochgreb de Freitas V. and Reis J. (2023). UpKG: A Framework to Insert New Domains in Knowledge Graphs. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD; ISBN 978-989-758-671-2, SciTePress, pages 85-95. DOI: 10.5220/0012237600003598

in Bibtex Style

@conference{keod23,
author={Jesamin Zevallos-Quispe and André Regino and Víctor Jesús Sotelo Chico and Víctor Hochgreb de Freitas and Julio Reis},
title={UpKG: A Framework to Insert New Domains in Knowledge Graphs},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD},
year={2023},
pages={85-95},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012237600003598},
isbn={978-989-758-671-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD
TI - UpKG: A Framework to Insert New Domains in Knowledge Graphs
SN - 978-989-758-671-2
AU - Zevallos-Quispe J.
AU - Regino A.
AU - Jesús Sotelo Chico V.
AU - Hochgreb de Freitas V.
AU - Reis J.
PY - 2023
SP - 85
EP - 95
DO - 10.5220/0012237600003598
PB - SciTePress