The development of an ontology model for early identification of children with specific learning disabilities

Abstract

<span lang="EN-US">Ontology-based knowledge representation is explored in special education environment as not much attention has been given to the area of specific learning disabilities such as dyslexia, dysgraphia and dyscalculia. Therefore, this paper aims to capture the knowledge in special education domain, represent the knowledge using ontology-based approach and make it efficient for early identification of children who might have specific learning disabilities. In this paper, the step-by-step development process of the ontology is presented by following the five phases of ontological engineering approach, which consists of specification, conceptualization, formalization, implementation, and maintenance. The details of the ontological model’s content and structure is built and the applicability of the ontology for early identification and recommendation is demonstrated.</span>

Hybrid approach for disease comorbidity and disease gene prediction using heterogeneous dataset

“…GO annotations and HPO annotations were downloaded from gene ontology and human phenotype ontology. Using weighted association rule mining, GO term associations and HPO term associations were obtained [23]- [26]. Two networks were constructed; one containing nodes of GO terms and other having nodes of HPO terms.…”

Forecasting movie rating using k-nearest neighbor based collaborative filtering

“…On several datasets, Özdemir et al [19] demonstrated how to evaluate the efficacy of various data classifier algorithms. Mohemad et al [20] proposed the construction of a new ontology model in the education sector in order to give early detection of children with learning problems.…”