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http://dx.doi.org/10.14400/JDC.2017.15.10.243

A Study on Synchronization Effect of A Multi-dimensional Event Database for Big Data Information Sharing  

Lee, Choon Y. (Dept. of Management Information System, Kookmin University)
Publication Information
Journal of Digital Convergence / v.15, no.10, 2017 , pp. 243-251 More about this Journal
Abstract
As external data have become important corporate information resources, there are growing needs to combine them with internal data. This paper proposes an ontology-based scheme to combine external data with multi-dimensional databases, which shall be called multi-dimensional event ontology. In the ontology, external data are represented as events. Event characteristics such as actors, places, times, targets are linked to dimensions of a multi-dimensional database. By mapping event characteristics to database dimensions, external event data are shared via multi-dimensional hierarchies. This paper proposes rules to synchronize information sharing in multi-dimensional event ontology such as upward event information sharing, downward event information sharing and complex event information sharing. These rules are implemented using Protege. This study has a value in suggesting Big Data information sharing processes using an event database framework.
Keywords
Information Sharing; Description Logic; Multi-dimensional Database; Ontology; Protege;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 C. Y. Lee, "An Evaluation of an Information Sharing Workflow Using Data Provenance Semantics", Journal of Digital Convergence, Vol. 11, No. 6, pp. 175-185, 2013.   DOI
2 C. Y. Lee, Network Enterprise and Future Management Doctrines, SERI Research Essay 74, SERI, 2007.
3 IBM, Integrating and Governing Big Data, White Paper, 2014.
4 M. Maleszka, B. Mianowska, N. Nguyen, "A framework for data warehouse federations building", IEEE International Conference on Systems, Man, and Cybernatics, pp.2897-2902. 2012.
5 L. Patil, "Ontology-based exchange of product data semantics", IEEE Transactions on Automation Science and Engineering, Vol. 2, No. 3, pp.213-225, 2005,   DOI
6 V. A. Martins, J. P. C. L. da Costa, R. T. de Sousa Junior "Architecture of a collaborative business intelligence environment based on an ontology repository and distributed data services", KMIS 2012 - International Conference on Knowledge Management and Information Sharing, pp.99-106, 2012.
7 A. Mikroyannidis, B. Theodoulidis, "Ontologymanagement and evolution for business intelligence", International Journal of Information Management, Vol 30, No. 6, pp.559-566, 2010.   DOI
8 N. Choi, I. Song, H. Han, "A survey on ontology mapping", ACM Sigmod Record, Vol 35, No. 3, pp34-41, 2006.   DOI
9 Y. Kalfoglou, M. Schorlemmer, "Ontology mapping: the state of the art", The Knowledge Engineering Review, Vol. 18, Issue 1, pp.1-31, 2003.   DOI
10 B. Neumayer, S. Anderlik, and M. Schrefl, "Towards ontology-based OLAP: datalog-based reasoning over multidimensional ontologies", Proceedings of the fifteenth international workshop on Data warehousing and OLAP, ACM, pp. 41-48, 2012.
11 R. Kern, T. Stolarczyk, N. Nguyen, "A formal framework for query decomposition and knowledge integration in data warehouse federations", Expert Systems with Applications, Vol. 40, Issue 7, pp.2592-2606, 2013.   DOI
12 N. Prat, J. Akoka, I. Comyn-Wattiau, "Transforming multidimensional models into OWL-DL ontologies", Research Challenges in Information Science, 2012 Sixth International Conference on. IEEE, pp. 1-12, 2012.
13 N. Prat, I. Magdiche, J. Akoka, "Multidimensional models meet the semantic web: defining and reasoning on OWL-DL ontologies for OLAP", Proceedings of the fifteenth international workshop on Data warehousing and OLAP. ACM, pp. 17-24, 2012.
14 A. Paschke, "A semantic design pattern language for complex event processing", AAAI Spring Symposium: Intelligent Event Processing, pp.54-60, 2009.
15 S. Kim, "Study on Big Data Utilization Plans of Medical Institutions", Journal of Digital Convergence, Vol. 12, No. 2, pp. 397-407, 2014.   DOI
16 K. Teymourian, G. Coskun, A. Paschke, "Modular upper-level ontologies for semantic complex event processing", WoMO. pp.81-93, 2010.
17 J. Park, XML Topic Maps: Creating and Using Topic maps for the Web, Addison Wesley, 2003.
18 M. Horridge, A Practical Guide To Building OWL Ontologies Using Pretege 4 and CO-ODE Tools, Edition 1.3, The University of Manchester, 2011.
19 http://protege.stanford.edu/
20 SAS, How to Use an Uncommon-Sense Approach to Big Data Quality, SAS Conclusions Paper, 2012.