Everything about Ontology Learning totally explained
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 (for example
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".
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