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  • 标题:Arbitrary Verification of Ontology Increments using Natural Language
  • 本地全文:下载
  • 作者:Kaneeka Vidanage ; Noor Maizura Mohamad Noor ; Rosmayati Mohemad
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2021
  • 卷号:12
  • 期号:7
  • DOI:10.14569/IJACSA.2021.0120742
  • 语种:English
  • 出版社:Science and Information Society (SAI)
  • 摘要:Parallel to the advancement of practical use cases in computers, the trend toward collaborative ontology engineering is accelerating. Both domain experts and ontologists must collaborate in collaborative ontology engineering processes. However, the bulk of domain experts are not computer experts (i.e. lawyers, medical doctors, bankers, etc.). Question and Answer on Linked Data (QALD) is a suggested method for non-computer domain experts to engage with the ontology increments as they evolve. Existing QALD methods and systems, on the other hand, have a number of drawbacks, including significant setup requirements, domain dependence, and user discomfort. As a result, a new QALD algorithm and QALD system designed with the usage of First Order Logic (FOL) are presented in order to address the shortcomings of current QALD mechanisms. The suggested FOL based, QALD mechanism was tested quantitatively and qualitatively over three distinct ontology increments. This experiment had an overall acceptance rate of 79 percent from all stakeholders.
  • 关键词:First order logic; linked data; ontologist; iterative framework
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