Solving the Complexity of Heterogeneity Data on Learning Environment Using Ontology
Abstract: Distributed and
various systems on learning environment are the current issues to produce big data
and heterogeneity data problem. Heterogeneity on learning environment is about
numerous learning applications and various learning information to support a
learning process in educational institutions. There are a lot of relationships
are formed between elements on learning environment. The elements onlearning
environment consist of learning data, learning applications, data sources,
learning concept, and data heterogeneity aspect on learning environment. These
elements are interrelated and produce complex relationship between each other.
A complex relationship problem between elements on learningenvironment makes a
process of analysis and identification difficult to be done. Existing method to
drawing this heterogeneity problem make confuse and misunderstanding readers.
To solved this problem, researcher using ontology knowledge to describe and draw
a semantic relationship that represent thecomplexity of data relationship on
learning environment. The result of this analysis is to develop ontology knowledge
to solve heterogeneity data problem specific in complexity relationship on
learning environment. This result can give better understanding to the readers
about complex relationship between elements on learning environment.
Author: Arda Yunianta
Journal Code: jptkomputergg150074
