Handling Multi-chapter Inconsistencies in DBpedia Evolution

• Julio Cesar dos Reis State University of Campinas (UNICAMP) http://orcid.org/0000-0002-9545-2098
• Tulio Brandão Soares Martins State University of Campinas (UNICAMP)

DOI: https://doi.org/10.5753/sbbd.2022.224307

Abstract

DBpedia is a huge resource available in the Web of Data. It is relevant to update this dataset based on new information appearing in Wikipedia. However, this operation can provide inconsistencies in the dataset for chapters in different languages. Although existing literature has defined tools to update DBpedia, there is a lack of studies related to understanding and detecting multichapter inconsistencies in its evolution. In this paper, we define a set of inconsistency classes related to triple changes in DBpedia to inform a software tool suited to detect instances of these classes when new data is updated for all languages, removed or inserted in the dataset. We demonstrate types of inconsistencies appearing in the evolution of DBpedia and propose a solution to correct these inconsistencies. Our evaluation assessing the proposed technique reveals its usefulness. Our results show that the proposed classes of inconsistencies combined with the defined solution can make DBpedia more reliable.

Keywords: DBpedia, multichapter

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