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Granular Computing Based Ontology Learning Model and Its Applications

References 1. Wang, G., Q. Zhang, J. Hu. An Overview of Granular Computing. – J. CAAI Transactions on Intelligent Systems, Vol. 2 , 2007, No 6, pp. 8-26. 2. Rose, D., H. Stefan. Comparison of “Personal Ontologies” Represented Through Conceptual. – In: Proc. of 13th European Conference on Artificial Intelligence (ECAI-98), Brighton, UK, 1998, pp. 341-345. 3. An-Hai, D., M. Jayant, D. Pedro, H. Alon. Ontology Matching: A Machine Learning Approach. – In: S. Steffen, S. Rudi, Eds. Handbook on Ontologies in Information Systems. Heideberg, DE

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Database Concepts in a Domain Ontology

References [1] T. R. Gruber, “A translation approach to portable ontology specifications,” Knowledge Acquisition, vol. 5, no. 2, pp. 199-220, Jun. 1993. https://doi.org/10.1006/knac.1993.1008 [2] M. G. Skjæveland, M. Giese, D. Hovland, E. H. Lian, and A. Waaler, “Engineering ontology-based access to real-world data sources,” Web Semantics: Science, Services and Agents on the World Wide Web, vol. 33, pp. 112-140, Aug. 2015. https://doi.org/10.1016/j.websem.2015.03.002 [3] E. Kharlamov, D. Hovland, M. G

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Applications of Ontologies in Knowledge Management Systems

References Abecker, A.; Elst, L. (2002) Ontologies for information management: Balancing formality, stability, and sharing scope, Expert Systems with Applications, 23(4), p. 357-366. Almeida, M.B.; Barbosa, R.R. (2009) Ontologies in Knowledge Management Support: A Case Study, Journal of the American Society for Information Science and Technology, 9999, p. 1-16. Benjamins, V.R.; Fenzel, D.; Perez, A.G. (1998) Knowledge management through ontologies, Second Internation Conference on Practical Aspects of

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Ontology Building Using Classification Rules and Discovered Concepts

REFERENCES [1] A. Nicola, M. Missikoff, R. Navigli, “A software engineering approach to ontology building. Information Systems,” vol. 34, issue 2, April 2009, pp. 258–275. http://dx.doi.org/10.1016/j.is.2008.07.002 [2] H. Gorskis, J. Čižovs, “Ontology Building Using Data Mining Techniques,” Information Technology and Management Science, vol. 15, 2012, pp.183–188. http://dx.doi.org/10.2478/v10313-012-0024-5 [3] I. Polaka, A. Kirshners, H. Gorskis, M. Leja, “The use and modification of decision tree classification algorithm for gastric cancer

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Learning Ontology from Object-Relational Database

–528. http://dx.doi.org/10.1016/0950-5849(89)90173-0 [5] M. Atkinson, F. Bancilhon, D. Dewitt, K. Dittrich, D. Maier, S. Zdonik, “The Object-Oriented Database System Manifesto”, In Proc. of the First Int. Conf. on Deductive and Object-Oriented Databases ”, Kyoto, Japan, 1989, pp. 223–240. [6] J. Greenberg, Oracle Database Object-Relational Developer’s Guide 12c Release 1 , Oracle corp., 2014. [7] A. Kaulins, A. Borisovs, “A. Building Ontology from Relational Database”, Information Technology and Management Science , vol. 17, 2014, pp. 45–49. [8

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A Study on Geographic Information Services Ontology and Its Applications

References 1. Gruber, T. R. A Translation Approach to Portable Ontology Specifications. – Knowledge Acquisition, Vol. 5 , 1993, pp. 199-220. 2. Nunes, J. Geographic Space as a Set of Concrete Geographical Entities. D. Mark, A. Frank, Eds. Cognitive and Linguistic Aspects of Geographic Space. Netherlands, Springer 1991, pp. 9-33. 3. Egenhofer, M., D. Mark. Naive Geography. A. Frank, W. Kuhn, Eds. Spatial Information Theory A Theoretical Basis for GIS. Berlin, Heidelberg, Springer, 1995, pp. 1-15. 4. Frank, A. Spatial Ontology: A

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Ontology Building Using Data Mining Techniques

References [1] Asunción Gómez-Pérez, Mariano Fernández-López, Oscar Corcho, “Ontological Engineering: With Examples from the Areas of Knowledge Management, E-commerce and the Semantic Web”, 2004, Springer [2] Natalya F. Noy, Deborah L. McGuinness, “Ontology Development 101: A Guide to Creating Your First Ontology”, 2001, Stanford University, Stanford, CA, 94305 [3] Encyclopedia Britannica, www.britannica.com/EBchecked/topic/1056150/data-mining [4] Patrick Clerkin, Padraig Cunningham

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Domain Modeling in the Context of Ontology

References [1] Hesse W., Ontologies in the Software Engineering Process, in: R. Lenz at al. (ed.): EAI 2005 - Proceedings of the Workshop on Enterprise Application Integration, 2005. [2] Gašević D., Djurić D., Devedžić V., Model Driven Architecture and Ontology Development , Springer 2006. [3] Happel H-J., Seedorf S., Applications of ontologies in software engineering, Proc. of Workshop on Sematic Web Enabled Software Engineering (SWESE) on the ISWC , 2006. [4] Kleshchev A.S., How can ontologies contribute to software development?, Knowledge

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Ontology optimization tactics via distance calculating

1 Introduction Ontology originally comes from philosophy. It is used to describe the natural connection of things and their components’ inherently hidden connections. Ontology is set up as a model for knowledge storage and representation in information and computer science. It has been extensively applied in different fields such as knowledge management, machine learning, information systems, image retrieval, information retrieval search extension, collaboration and intelligent information integration. As a conceptually semantic model and an analysis tool

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Does Ontology Matter?

References Adams, Robert. 1994. Leibniz: Determinist, Theist, Idealist . New York: Oxford University Press. Balaguer, Mark. 1998. Platonism and Anti-Platonism in Mathematics . New York: Oxford University Press. Bennett, Karen. 2009. Composition, Colocation and Metaontology. In Metametaphysics: New Essays on the Foundations of Ontology , ed. by David Chalmers, David Manley and Ryan Wasserman. New York: Oxford University Press. Chalmers, David, David Manley and Ryan Wasserman. Metametaphysics: New Essays on the Foundations of Ontology

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