HackerPapers

arXiv:1908.03171cs.AI

Completing and Debugging Ontologies: state of the art and challenges

Patrick Lambrix

HN submission. Found in a submission link or body. Submitters do not count as commenters in the main ranking; a submission is not an endorsement.

Abstract

As semantically-enabled applications require high-quality ontologies, developing and maintaining ontologies that are as correct and complete as possible is an important although difficult task in ontology engineering. A key step is ontology debugging and completion. In general, there are two steps: detecting defects and repairing defects. In this paper we discuss the state of the art regarding the repairing step. We do this by formalizing the repairing step as an abduction problem and situating the state of the art with respect to this framework. We show that there are still many open research problems and show opportunities for further work and advancing the field.

arXiv comments
56 pages
Journal reference
Journal of Data and Information Quality, 2023
DOI
doi:10.1145/3597304
Subjects
cs.AIArtificial Intelligence cs.LOLogic in Computer Science

On Hacker News

No comments linking this paper were found in the collected sources. Found in 1 HN submission from Aug 2019 to Aug 2019. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments0 threads

No comments linking this paper were found in the collected sources. Open submission discussions.

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.