Abstract
As data warehouse (DWH) expands its scope increasingly in more and more areas, its application development processes still have to face significant challenges in semantically and systematically integrating heterogeneous sources into data warehouse. In that context, we propose an ontology-based multi dimensional data model, aiming at populating data warehousing systems with reliable, timely, and accurate information. Furthermore, in our approach, MDA (Model-Driven Architecture) principles and AndroMDA system are utilized to specify as well as to generate source code from UML (Unified Modeling Language) class diagrams, which are used to model the ontology-based multi dimensional data model in the context of object oriented concepts. As a result, this approach enables interoperability among a class of DWH applications, which are designed and developed based on our proposed solution.
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References
Brown, A.W.: Model Driven Architecture: Principles and Practice. Springer, New York (2004)
Gjoni, O.: Bizagi Process Management Suite as an Application of the Model Driven Architecture Approach for Developing Information Systems. MCSER Publishing (2014)
Hoang, A.-D.T., Nguyen, T.B.: An integrated use of CWM and ontological modeling approaches towards ETL processes. IEEE Computer Society (2008)
Hoang, A.D.T., Nguyen, T.B.: A semantic approach towards CWM-based ETL processes. In: Proceedings of the Innovations Conference for Knowledge Management, New Media Technology and Semantic Systems, 3–5 Sep 2008, Graz, Austria
Hoang, A.D.T., Nguyen, T.B., Tran, H., Tjoa, A.M.: Towards the Development of Large-scale Data warehouse Application Frameworks. In: Moeller, C., Chaudhry, S. (eds.) Re-conceptualizing Enterprise Information Systems, pp. 92–104. Springer, New York, USA (2012). scopusID = 2-s2.0-84859065669. ISSN: 1865-1348
Hoang, A.D.T., Ngo, N.S., Nguyen, T.B.: Collective cubing platform towards definition and analysis of warehouse cubes. In: Computational Collective Intelligence. Technologies and Applications—4th International Conference, ICCCI 2012. Lecture Notes in Computer Science, vol. 7654. Springer (2012). ISBN: 978-3-642-34706-1. Scopus: 2-s2.0-84870938477
Nguyen, T.B., Tjoa, A.M., Wagner, R.R.: An object oriented multidimensional data model for OLAP. Springer, Berlin (2000)
Nguyen, T.B., Wagner, F., Schoepp, W.: Cloud intelligent services for calculating emissions and costs of air pollutants and greenhouse gases. In: Intelligent Information And Database Systems (ACIIDS 2011). Lecture Notes in Computer Science (LNCS), vol. 6591. Springer (2011). ISBN 978-3-642-20038. Scopus: 2-s2.0-84872157447
Nguyen, T.B., Ngo, N.S.: Semantic cubing platform enabling interoperability analysis among cloud-based linked data cubes. In: CONFENIS 2014. ACM. Hanoi, Vietnam (2014). ISBN: 978-1-4503-3001-5
Nguyen, T.B.: Integrated assessment model on global-scale emissions of air pollutants. Studies in Computational Intelligence (2015). ISSN: 1387-3326
Papastefanatos, G., Petrou, I.: Publishing statistical data as linked data—the RDF data cube vocabulary. Institute for the Management of Information Systems (2013)
Helmich, J., Klímek, J., Nečaský, M.: Visualizing RDF data cubes using the linked data visualization model. LOD2 project SVV-2014-260100 (2014)
Han, J.: Data Mining: Concepts and Techniques. Elsevier Inc., (2006)
Stolba, N., Banek, M., Tjoa, A.M.: The security issue of federated data warehouses in the area of evidence-based medicine. IEEE (2006)
Nguyen, T.B., Schoepp, W., Wagner, F.: GAINS-BI: business intelligent approach for greenhouse gas and air pollution interactions and synergies information system. In: Proceedings of the 10th International Conference on Information Integration and Web-Based Applications & Services (iiWAS2008), Linz, Austria, 24–26 Nov 2008. ACM 2008. scopusID = 2-s2.0-70349132550. ISBN: 9781605583495
Parreiras, F.S.: Semantic Web and Model-Driven Engineering. IEEE (2012)
http://andromda.sourceforge.net/andromda-documentation/getting-started-java
Höfferer, P.: Achieving business process model interoperability using metamodels and ontologies. In: Proceedings of the 15th European Conference on Information Systems (ECIS2007), Switzerland, 7–9 June 2007, pp. 1620–1631
Cranefield, S., Pan, J.: Bridging the gap between the model-driven architecture and ontology engineering. ScienceDirect (2007)
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Huy, T.D., Binh, N.T., Ngoc, N.S. (2016). Modeling Multidimensional Data Cubes Based on MDA (Model-Driven Architecture). In: Nguyen, T.B., van Do, T., An Le Thi, H., Nguyen, N.T. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-319-38884-7_7
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DOI: https://doi.org/10.1007/978-3-319-38884-7_7
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