Authors:
Jesamin Zevallos-Quispe
1
;
André Regino
1
;
Víctor Jesús Sotelo Chico
1
;
Víctor Hochgreb de Freitas
2
and
Julio Reis
1
Affiliations:
1
Institute of Computing, University of Campinas, Campinas, Brazil
;
2
GoBots, São Paulo, Brazil
Keyword(s):
Knowledge Graphs, Domain Extension, e-Commerce, Compatibility, Ontology, SPARQL.
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 trip
les concerning the Appliances domain. The conducted evaluation shows that we can verify the feasibility and applicability of the UpKG framework.
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