Abstract
This paper is aimed to overcome the limitation of the traditional multidimensional model in order to allow usage of numerical, textual and object-oriented information as multidimensional model measures. The ontological approach is reviewed. The formal definition of multidimensional approach is given. The idea of multidimensional and ontological approaches hybridization is discussed. The hybrid multidimensional-ontological data model requirements are proposed. The formal definitions of the metagraph data model and metagraph agent model are given. The examples of data metagraph and metagraph rule agent are discussed. The representation of object-oriented data structures in form of metagraph is given. The hybrid multidimensional-ontological data model based on metagraph approach is proposed. Predicate representation of metagraph model considered as a physical data model for metagraph approach implementation is given.
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References
Blondé, W., Antezana, E., Mironov, V., Schulz, S., Kuiper, M., De Baets, B.: Using the relation ontology Metarel for modelling Linked Data as multi-digraphs. Semant. Web 5(2), 115–126 (2014)
Qu, Q., Qiu, J., Sun, C., Wang, Y.: Graph-based knowledge representation model and pattern retrieval. In: FSKD, vol. 5, pp. 541–545 (2008)
Gruber, T.: A translation approach to portable ontology specifications. Knowl. Acquisition 5(2), 199–220 (1993)
Gavrilova, T., Chernigovskava, T.: Cognitive aspects of visual knowledge base design. In: Proceedings of the International Conference PEG. Intelligent Computer and Communications Technology (Teaching & Learning for the 21-st Century), Great Britain, pp. 174–181 (1999)
Allemang, D., Hendler, J.: Semantic Web for the Working Ontologist: Effective Modelling in RDFS and OWL, 2nd edn. Elsevier, New York (2011)
Defining N-ary Relations on the Semantic Web. W3C Working Group Note, 12 April 2006. http://www.w3.org/TR/swbp-n-aryRelations
Codd, E., Codd, S., Salley, C.: Providing OLAP (On-Line Analytical Processing) to User-Analysts: An IT Mandate. http://www.minet.uni-jena.de/dbis/lehre/ss2005/sem_dwh/lit/Cod93.pdf
Mansmann, S., Scholl, M.: Extending the multidimensional data model to handle complex data. J. Comput. Sci. Eng. 2(1), 125–160 (2007)
Semantic OLAP: Semantic Mediawiki Extension. https://www.mediawiki.org/wiki/Extension:Semantic_OLAP
Basu, A., Blanning, R.: Metagraphs and Their Applications. Springer, Heidelberg (2007). https://doi.org/10.1007/978-0-387-37234-1
Samohvalov, E., Revunkov, G., Gapanyuk, Y.: Metagraphs for information systems semantics and pragmatics definition. In: Herald of Bauman Moscow State Technical University, vol. 1, no. 100, pp. 83–99 (2015)
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Chernenkiy, V.M., Gapanyuk, Y.E., Nardid, A.N., Gushcha, A.V., Fedorenko, Y.S. (2018). The Hybrid Multidimensional-Ontological Data Model Based on Metagraph Approach. In: Petrenko, A., Voronkov, A. (eds) Perspectives of System Informatics. PSI 2017. Lecture Notes in Computer Science(), vol 10742. Springer, Cham. https://doi.org/10.1007/978-3-319-74313-4_6
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DOI: https://doi.org/10.1007/978-3-319-74313-4_6
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