TY - JOUR
T1 - Automatic Ontology Construction Using Text Corpora and Ontology Design Patterns (ODPs) in Alzheimer's Disease
AU - Cahyani, Denis E.
AU - Wasito, Ito
PY - 2017/6/1
Y1 - 2017/6/1
N2 - 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.
AB - 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.
KW - fully automatic, ontology building, ontology design patterns, Alzheimer disease
U2 - 10.21609/jiki.v10i2.374
DO - 10.21609/jiki.v10i2.374
M3 - Article
VL - 10
SP - 59
EP - 66
JO - Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
JF - Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
SN - 2502-9274
IS - 2
ER -