Alignment Conservativity Under the Ontology Change

Abstract

Recently, many methods have appeared to solve the problem of the evolution of alignment under the change of ontologies. The main challenge for them is to maintain consistency of alignment after applying the change. An alignment is consistent if and only if the ontologies remain consistent even when used in conjunction with the alignment. The objective of this work is to take a step forward by considering the alignment evolution according to the conservativity principle under the change of ontologies. In this context, an alignment is conservative if the ontological change should not introduce new semantic relationships between concepts from one of the input ontologies. We give methods for the conservativity violation detection and repair under the change of ontologies and we carry out an experiment on a dataset adapted from the Ontology Alignment Evaluation Initiative. The experiment demonstrates both the practical applicability of the proposed approach and shows the limits of the alignment evolution methods compared to the alignment conservativity under the change of ontologies.

Temporal Dimensions of Quality in Knowledge Graph Evolution: A Comprehensive Review

“…To lessen this task for future contributions, we suggest an evaluation of the execution time between such proposals that may emerge in this context and the original general framework in Chen et al [46]. For instance, this experiment can be carried out concurrently between the two frameworks on the same dataset to observe the usefulness of an adaptive approach compared to the compute from scratch [60]. A suitable dataset can be the same one proposed in Chen et al [46], with a targeted modification to extract new modified KGs versions.…”