Authors:
Alexander Wendt
1
;
Benjamin Dönz
1
;
Stephan Mantler
2
;
Dietmar Bruckner
1
and
Alexander Mikula
3
Affiliations:
1
Vienna University of Technology, Austria
;
2
VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH, Austria
;
3
Frequentis AG, Austria
Keyword(s):
Data model, RDF, Graph oriented, Document oriented, Relational, Query, Database, SPARQL, SQL.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Collaboration and e-Services
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Enterprise Ontologies
;
Expert Systems
;
Formal Methods
;
Health Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontologies
;
Semantic Web
;
Simulation and Modeling
;
Soft Computing
;
Symbolic Systems
Abstract:
Database technologies are evaluated in respect to their performance in model extension, data integration, data access, querying and distributed data management. The structure of the data sources is partially unknown. Additional value is gained combination of data sources. Data models for a relational, a document and a graph oriented database are compared showing strengths and weaknesses of each data model.