Corpus ID: 210164589

Merging of Ontologies Through Merging of Their Rules

@article{Verhodubs2020MergingOO,
  title={Merging of Ontologies Through Merging of Their Rules},
  author={Olegs Verhodubs},
  journal={ArXiv},
  year={2020},
  volume={abs/2001.04326}
}
Ontology merging is important, but not always effective. The main reason, why ontology merging is not effective, is that ontology merging is performed without considering goals. Goals define the way, in which ontologies to be merged more effectively. The paper illustrates ontology merging by means of rules, which are generated from these ontologies. This is necessary for further use in expert systems. 
Supporting Ontology Maintenance with Contextual Word Embeddings and Maximum Mean Discrepancy
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The use of the maximum mean discrepancy to indicate whether sets of concepts sharing the same meaning should be merged is introduced to assist ontology maintenance through an analysis framework that gives insights into the polysemy of concepts. Expand

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