Publications

Rule-driven inconsistency resolution for knowledge graph generation rules.

Abstract

Abstract Knowledge graphs, which contain annotated descriptions of entities and their interrelations, are often generated using rules that apply semantic annotations to certain data sources.(Re) using ontology terms without adhering to the axioms defined by their ontologies results in inconsistencies in these graphs, affecting their quality. Methods and tools were proposed to detect and resolve inconsistencies, the root causes of which include rules and ontologies. However, these either require access to the complete knowledge graph, which is not always available in a time-constrained situation, or assume that only generation rules can be refined but not ontologies. In the past, we proposed a rule-driven method for detecting and resolving inconsistencies without complete knowledge graph access, but it requires a predefined set of refinements to the rules and does not guide users with respect to the order the rules …

Date
November 1, 2019
Authors
Mayank Kejriwal, Vanessa Lopez, Juan F Sequeda, Pieter Heyvaert, Ben De Meester, Anastasia Dimou, Ruben Verborgh
Journal
Semantic Web (1570-0844)
Volume
10
Issue
6