Distance-Based Approaches to Repair Semantics in Ontology-based Data Access
Artificial Intelligence
2019-10-02 v1 Databases
Abstract
In the presence of inconsistencies, repair techniques thrive to restore consistency by reasoning with several repairs. However, since the number of repairs can be large, standard inconsistent tolerant semantics usually yield few answers. In this paper, we use the notion of syntactic distance between repairs following the intuition that it can allow us to cluster some repairs "close" to each other. In this way, we propose a generic framework to answer queries in a more personalise fashion.
Cite
@article{arxiv.1910.00293,
title = {Distance-Based Approaches to Repair Semantics in Ontology-based Data Access},
author = {César Prouté and Bruno Yun and Madalina Croitoru},
journal= {arXiv preprint arXiv:1910.00293},
year = {2019}
}