Ontology learning (ontology extraction, 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.
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| - Apprendimento di ontologie (it)
- Ontology learning (en)
- Aprendizado de ontologias (pt)
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| - Ontology learning (ontology extraction, 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. (en)
- L'apprendimento di ontologie consiste nell'estrazione (semi-)automatica di concetti e relazioni rilevanti a partire da una collezione di documenti o altri insiemi di dati al fine di creare un'ontologia. (it)
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| - Ontology learning (ontology extraction, 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 symbolictechniques are used to extract , often based on pattern-based or definition-based hypernym extraction techniques. (en)
- L'apprendimento di ontologie consiste nell'estrazione (semi-)automatica di concetti e relazioni rilevanti a partire da una collezione di documenti o altri insiemi di dati al fine di creare un'ontologia. L'apprendimento automatico di ontologie è un'attività che coinvolge diverse discipline. Il processo inizia estraendo termini e concetti dai testi della collezione utilizzando metodi di estrazione della terminologia. Ciò richiede l'impiego di tecniche di elaborazione del linguaggio (ad esempio, l'analisi grammaticale e sintattica). Quindi tecniche statistiche o simboliche sono utilizzate per estrarre relazioni. Per esempio, nel dominio della finanza si vogliono apprendere relazioni quali quelle che intercorrono tra banca e istituzione (una banca è-una istituzione), tra banca e prestito (una banca concede un prestito) e così via. (it)
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