Semantic Data Mapping on E-Learning Usage Index Tool to Handle Heterogeneity of Data Representation

Abstract

Distribution and heterogeneity of data is the current issues in data level implementation. Different data representation between applications makes the integration problem increasingly complex. Stored data between applications sometimes have similar meaning, but because of the differences in data representation, the application cannot be integrated with the other applications. Many researchers found that the semantic technology is the best way to resolve the current data integration issues. Semantic technology can handle heterogeneity of data; data with different representations and sources. With semantic technology data mapping can also be done from different database and different data format that have the same meaning data. This paper focuses on the semantic data mapping using semantic ontology approach. In the first level of process, semantic data mapping engine will produce data mapping language with turtle (.ttl) file format that can be used for Local Java Application using Jena Library and Triple Store. In the second level process, D2R Server that can be access from outside environment is provided using HTTP Protocol to access using SPARQL Clients, Linked Data Clients (RDF Formats) and HTML Browser. Future work to will continue on this topic, focusing on E-Learning Usage Index Tool (IPEL) application that is able to integrate with others system applications like Moodle E-Learning Systems.

Semantic data mapping technology to solve semantic data problem on heterogeneity aspect

“…1. [16] This research aims to produce D2RQ semantic data mapping file that will used to integrate with others D2RQ mapping files and also can be used to integrate with the ontology language. There are two simple steps to conduct semantic data mapping process using D2RQ, the first step is to prepare data source that will map in this research and the second step is using D2RQ to produce the semantic data mapping file.…”

Data mapping process to handle semantic data problem on student grading system

“…To integrate the learning data between learning applications inside learning environment, semantic data mapping is an important process to handle heterogeneity data problem to solve inconsistency issues in the representation of learning data [39]. In the data integration process in the learning environment, there are many applications involved such as teaching and learning online application called e-learning system, academic information management system, student management and payment system, Subject Courses evaluation system, student registration system, library application system and many others.…”

“…There are several reason why researcher using D2RQ as a semantic data mapping tools because D2RQ is a free software, D2RQ supports automatic and manual mapping process, D2RQ support Any SQL-92 DB and D2RQ also support data integration process [23,[36][37][38]. There are five structure elements inside the D2RQ; they are D2RQ engine, Jena/Sesame, RDF Dump, D2RQ mapping file and D2R server [36,39].…”