Ontology Learning

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High Quality Content by WIKIPEDIA articles! Ontology learning (ontology extraction, ontology generation, or ontology acquisition) is a subtask of information extraction. The goal of ontology learning is to (semi-)automatically extract relevant concepts and relations from a given corpus or other kinds of data sets to form an ontology. The automatic creation of ontologies is a task that involves many disciplines. Typically, the process starts by extracting terms and concepts or noun phrase from plain text using a method from terminology extraction. This usually involves linguistic processors (e.g. part of speech tagging, phrase chunking). Then statistical or symbolic techniques are used to extract relation signatures. For instance, these approaches try to detect that "to eat" denotes a relation between a concept denoted by "animal" and a concept denoted by "food".

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786130510664
    • Editor Lambert M. Surhone, Miriam T. Timpledon, Susan F. Marseken
    • EAN 9786130510664
    • Format Fachbuch
    • Titel Ontology Learning
    • Herausgeber Betascript Publishing
    • Anzahl Seiten 72
    • Genre Philosophie

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