Automatic Ontology Construction Using Text Corpora and Ontology Design Patterns (ODPs) in Alzheimer’s Disease
Abstract: An ontology is
defined as an explicit specification of a conceptualization, which is an
important tool for modeling, sharing and reuse of domain knowledge. However,
ontology construction by hand is a complex and a time consuming task. This
research presents a fully automatic method to build bilingual domain ontology
from text corpora and ontology design patterns (ODPs) in Alzheimer’s disease.
This method combines two approaches: ontology learning from texts and matching
with ODPs. It consists of six steps: (i) Term & relation extraction (ii)
Matching with Alzheimer glossary (iii) Matching with ontology design patterns
(iv) Score computation similarity term & relation with ODPs (v) Ontology
building (vi) Ontology evaluation. The result of ontology composed of 381 terms
and 184 relations with 200 new terms and 42 new relations were added. Fully
automatic ontology construction has higher complexity, shorter time and reduces
role of the expert knowledge to evaluate ontology than manual ontology
construction. This proposed method is sufficiently flexible to be applied to
other domains.
Author: Denis Eka Cahyani, Ito
Wasito
Journal Code: jptkomputergg170002
