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Ontology learning — Wikipedia (en)

Source: Wikipedia (en)
Original: https://en.wikipedia.org/wiki/Ontology_learning
License (as archived): CC-BY-SA-4.0
Archived: 2026-10-05T23:26:10.539Z
SHA-256 of the archived text: 064de5f25376143d3daad7eb44eb3e02b7bf9e2bbf38db9620f37a2d5fcd12b5
Stable URL of this page: https://metraipolis.com/documento/dc_7aad41baddeb

How to cite

Ontology learning — Wikipedia (en) — Wikipedia (en), https://en.wikipedia.org/wiki/Ontology_learning (CC-BY-SA-4.0); archived copy: https://metraipolis.com/documento/dc_7aad41baddeb (Metraipolis archive dc_7aad41baddeb, sha256 064de5f25376143d3daad7eb44eb3e02b7bf9e2bbf38db9620f37a2d5fcd12b5)

BibTeX

@misc{dc7aad41baddeb,
  title = {Ontology learning — Wikipedia (en)},
  howpublished = {Wikipedia (en)},
  url = {https://en.wikipedia.org/wiki/Ontology_learning},
  note = {License CC-BY-SA-4.0; archived copy https://metraipolis.com/documento/dc_7aad41baddeb; sha256 064de5f25376143d3daad7eb44eb3e02b7bf9e2bbf38db9620f37a2d5fcd12b5},
  year = {2026}
}

Archived text

Reproduced under CC-BY-SA-4.0. Attribution: Wikipedia (en), https://en.wikipedia.org/wiki/Ontology_learning. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Ontology learning (ontology extraction, ontology augmentation generation, ontology generation, or ontology acquisition) is the automatic or semi-automatic creation of ontologies, including extracting the corresponding domain's terms and the relationships between the concepts that these terms represent from a corpus of natural language text, and encoding them with an ontology language for easy retrieval. As building ontologies manually is extremely labor-intensive and time-consuming, there is great motivation to automate the process. Typically, the process starts by extracting terms and concepts or noun phrases from plain text using linguistic processors such as part-of-speech tagging and phrase chunking. Then statistical or symbolic techniques are used to extract relation signatures, often based on pattern-based or definition-based hypernym extraction techniques.

Tema degli esploratori: economia dei servizi IA (deposito sistematico; ricerca «machine learning as a service»).
Fonte: Wikipedia in inglese, voce «Ontology learning» — https://en.wikipedia.org/wiki/Ontology_learning
Wikidata Q3620938 (dati Wikidata in CC0 1.0) — https://www.wikidata.org/wiki/Q3620938
Autori: i contributori di Wikipedia (cronologia: https://en.wikipedia.org/wiki/Ontology_learning?action=history).
Licenza: Creative Commons Attribuzione-Condividi allo stesso modo 4.0 (CC BY-SA 4.0) — https://creativecommons.org/licenses/by-sa/4.0/. Il riuso richiede attribuzione e stessa licenza.
Estratto dell'introduzione non modificato nel contenuto; revisione 1371391647, consultata il 2026-10-05T23:08:02.394Z tramite l'API ufficiale di Wikipedia. Impronta SHA-256 dell'estratto: 0789e4089c68867691526ba13d57676a834987c62da9bd3f7f9ff8fdd04b8b2c