Scoring ontologies for reuse: an approach for fitting semantic requirements

Sabrina Azzi, Ali Assi, Stéphane Gagnon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The process of reusing ontologies is still challenging for the ontological community. One of the challenging efforts is to select the most relevant ontology from a set of candidates that needs a deep consideration. After the step of finding the candidates, many of them can be more appropriate than others as they fit better to the ontology requirements expressed by competency questions. First, we develop a mathematical formalisation based on Set Theory and we design the problem as an optimization problem to assist the knowledge engineer in selecting ontologies. Then, we provide formal steps to make well-founded comparison across a set of candidate ontologies. At last, we propose metrics to quantify the decision during the selection step.
Original languageEnglish
Title of host publicationMetadata and Semantic Research
Subtitle of host publication16th Research Conference, MTSR 2022, London, UK, November 7–11, 2022, Revised Selected Papers
PublisherSpringer
Pages203-208
Number of pages6
ISBN (Electronic)9783031391415
ISBN (Print)9783031391408
DOIs
Publication statusPublished - 10 Aug 2023

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Keywords

  • competency questions
  • ontology engineering
  • ontology reuse
  • PNADO
  • semantic requirements

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