Automating the use of Shape Expressions for the validation of semantic knowledge in Wikidata

Mohamed Ali Hadj Taieb, Khalil Chebil, Mohamed Ben Aouicha
November 2023
PDF Cite

Abstract

In this position paper, we discuss the semantic alignment-based approach for automating the ShEx-based validation of Wikidata items as proposed by Wikimedia Deutschland in July 2023, and we propose an alternative method that automates the shape-based validation of Wikidata entities and statements based on the conversion of ShEx EntitySchemas into SPARQL queries that identify relevant entities. We explain the advantages and drawbacks of both methods to provide the community with a useful overview of the matter.

Type
Conference paper
Wikidata Knowledge Graph Validation Shape Expressions SPARQL Semantic Alignment Data Quality
Mohamed Ali Hadj Taieb
Mohamed Ali Hadj Taieb
Assistant professor

My research interests include semantic similarity, semantic relatedness, knowledge representation, Big Data, social media, data management systems and graph embedding.

Khalil Chebil
Khalil Chebil
Assistant professor in computer science

My research interests include decision aid algorithms, optimization and linear programming.

Mohamed Ben Aouicha
Mohamed Ben Aouicha
Professor

My research interests concern information retrieval, semantic technologies, social media analytics, knowledge representation, Big Data and graph embedding.