Перейти к публикации.pdf

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Preview of Перейти к публикации
🔗 Source: ceur-ws.org
📊 Size: 1.54 MB
📄 Pages: 8 pages
⬇️ Downloads: 303

Summary

It formulates the problem of learning ontology from a sample of texts and describes the structure of data ontology, including basic level concepts and higher levels of generalization. The algorithm extracts basic-level ontology concepts using semantic resources of Wikipedia and DBpedia tools and generalizes and specializes these concepts. The paper presents new scientific results, including a probabilistic model of ontology, a model of interconnections between basic concepts and their instances, and stop criteria for the iterative process of ontology learning.

Description

It formulates the problem of learning ontology from a sample of texts and describes the structure of data ontology, including basic level concepts and higher...

Technical Information

  • File Format: PDF
  • File Size: 1.54 MB
  • Pages: 8
  • Language: EN
  • Total Downloads: 303
  • Last Updated: 1 month ago

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