Title :
Semantic mapping relational to graph model
Author :
Wardani, Dewi W. ; Kiing, Josef
Author_Institution :
Inf. Dept., Sebelas Maret Univ., Surakarta, Indonesia
Abstract :
Making data to be more connected is one of the goals of Semantic Technology. Therefore, relational data model as one of important data resource type, is needed to be mapped and converted to graph model. In this paper we focus in mapping and converting without semantically loss, by considering semantic abstraction of the real world, which has been ignored in some previous researches. As a graph schema model, it can be implemented in graph database or linked data in RDF/OWL format. This approach studies that relationship should be paid more attention in mapping and converting because, often be found a gap semantic abstraction during those processes. In our small experiment shows that our idea can map and convert relational model to graph model without semantically loss.
Keywords :
data models; database management systems; graph theory; semantic Web; OWL format; RDF format; gap semantic abstraction; graph database; graph model; linked data; relational data model; semantic mapping; Data models; Erbium; Redundancy; Relational databases; Resource description framework; Semantics; big data; converting; graph model; graph schema; mapping; relational model; semantic;
Conference_Titel :
Computer, Control, Informatics and Its Applications (IC3INA), 2014 International Conference on
Conference_Location :
Bandung
Print_ISBN :
978-1-4799-4577-1
DOI :
10.1109/IC3INA.2014.7042620