oMatch: Making Sense Integration Applicable Outside the Ministry of Ontology
Mathieu d’Aquin · Zenodo (CERN European Organization for Nuclear Research) · 2023
Abstract In this paper, we present oMatch, a sense integration method for sensolens-created knowledge hyper-graphs based on propositional abstraction. oMatch is designed to match local portions of the graph before aggregation, therefore reducing the hardware requirements to achieve fast sense integration on potentially large hypergraphs. We demonstrate the ability of the method to carry out sense integration on an high-end home cluster with only 12TB of RAM and 5,000 TPU cores for a large multi-hypergraph from the sensolenses of all students in our university, thus demonstrating its ability to support specific communities without the resources deployed by the Ministry of Ontology. Disclaimer: This paper is a work of fi ction, written in 2023 and describing research that may be carried out in 2043. For this reason, it includes citations to papers produced in the period 2024-2043, which have not been published (yet); all citations prior to 2024 refer instead to papers already in the literature. Any reference or resemblance to actual events or people or businesses, past, present or future, is entirely coincidental and the product of the author’s imagination.