Towards Knowledge Graphs Validation Through Weighted Knowledge Sources

Elwin Huaman*, Amar Tauqeer, Anna Fensel

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

6 Citations (Scopus)

Abstract

The performance of applications, such as personal assistants and search engines, relies on high-quality knowledge bases, a.k.a. Knowledge Graphs (KGs). To ensure their quality one important task is knowledge validation, which measures the degree to which statements or triples of KGs are semantically correct. KGs inevitably contain incorrect and incomplete statements, which may hinder their adoption in business applications as they are not trustworthy. In this paper, we propose and implement a Validator that computes a confidence score for every triple and instance in KGs. The computed score is based on finding the same instances across different weighted knowledge sources and comparing their features. We evaluate our approach by comparing its results against a baseline validation. Our results suggest that we can validate KGs with an f-measure of at least 75%. Time-wise, the Validator, performed a validation of 2530 instances in 15 min approximately. Furthermore, we give insights and directions toward a better architecture to tackle KG validation.

Original languageEnglish
Title of host publicationKnowledge Graphs and Semantic Web - 3rd Iberoamerican Conference and 2nd Indo-American Conference, KGSWC 2021, Proceedings
EditorsBoris Villazón-Terrazas, Fernando Ortiz-Rodríguez, Sanju Tiwari, Ayush Goyal, M. Jabbar
Place of PublicationCham
PublisherSpringer
Pages47-60
Number of pages14
ISBN (Print)9783030913045
DOIs
Publication statusPublished - 2021
Event3rd Iberoamerican Knowledge Graph and Semantic Web Conference and the 2nd Indo-American Knowledge Graphs and Semantic Web Conference, KGSWC 2021 - Virtual, Online
Duration: 22 Nov 202124 Nov 2021

Publication series

NameCommunications in Computer and Information Science
Volume1459 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference3rd Iberoamerican Knowledge Graph and Semantic Web Conference and the 2nd Indo-American Knowledge Graphs and Semantic Web Conference, KGSWC 2021
CityVirtual, Online
Period22/11/2124/11/21

Keywords

  • Knowledge graph assessment
  • Knowledge graph curation
  • Knowledge graph validation

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