Title :
Ontology model in pediatric nutrition domain
Author :
Sari, Dewi Ika ; Sihwi, Sari Widya ; Anggrainingsih, Rini
Author_Institution :
Inf. Dept., Sebelas Maret Univ., Surakarta, Indonesia
Abstract :
Ontology is one of the semantic technology standard that can make knowledge sharing be easier. This paper reported a development of ontology that focus in pediatrie nutrition domain. This domain was chosen because it is one of the world problem. This ontology covers children´s required nutrient intake and its amount. Besides that, it also covers the effect of excess and lack of nutrition. This pediatrie nutrition ontology has six main classes. They are Nutrient, Nutrient Function, Malnutrition, Malnutrition Caution, Food and Person. To enrich the knowledge, this ontology was completed by annotation. Knowledge in this ontology was validated by an expert that has qualification as a pediatrician with subspecialist in nutrition and metabolic diseases. To facilitate the expert in performing validation, we made an application prototype to query over OWL ontology with SPARQL. As the result of this research, this ontology can be a knowledge source of knowledge-based application. This research left In the next research, we suggest adding another related ontology to make ontology pediatrie nutrition get richer. Beside that, the addition of another languages can also make the interoperability of this ontology increased.
Keywords :
knowledge representation languages; medical computing; ontologies (artificial intelligence); open systems; paediatrics; query languages; query processing; standards; OWL ontology model; SPARQL; excess effect; food; interoperability; knowledge sharing; knowledge-based application; malnutrition caution; metabolic diseases; nutrient function; nutrition lackness; pediatric nutrition domain; pediatric nutrition ontology; person; query; semantic technology standard; Diseases; Knowledge based systems; Ontologies; Prototypes; Resource description framework; Semantics; Malnutrition; Ontology; Pediatric Nutrition; Semantic Technology;
Conference_Titel :
Information Technology Systems and Innovation (ICITSI), 2014 International Conference on
DOI :
10.1109/ICITSI.2014.7048236