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Integration of Relational and Graph Databases Functionally

References [1] Abadi, D., Babu, Sh., Ozcan, F., Pandis, I., Tutorial: SQL-on-Hadoop Systems, in Proc. of VLDB Endowment, Vol. 8, No. 12, 2015. [2] Bugiotti, F., Cabibbo, L., Atzeni, P., & Torlone, R., Database Design for NoSQL Systems, in: Proc. of ER Conf., LNCS 8824, Springer, 2014, 223-231. [3] Chasseur, C., Li, Y., Patel, J.M., Enabling JSON Document Stores in Relational Systems, in: 16th Int. Workshop on the Web and Databases (WebDB 2013), 2013, 1-6. [4] Curé, O., Hecht, R., Duc, Ch. L., Lamole, M., Data Integration over NoSQL Stores

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Database Concepts in a Domain Ontology

. Skjæveland, et al., “Ontology Based Data Access in Statoil,” Web Semantics: Science, Services and Agents on the World Wide Web, Jul. 2017. https://doi.org/10.1016/j.websem.2017.05.005 [4] N. Konstantinou, D.-E. Spanos and N. Mitrou, “Ontology and database mapping: a survey of current implementations and future directions,” Journal of Web Engineering, vol. 7, no. 1, pp. 1-24, March 2008. [5] D. Calvanese, B. Cogrel, S. Komla-Ebri, R. Kontchakov, D. Lanti, M. Rezk, M. Rodriguez-Muro, and G. Xiao, “Ontop: Answering SPARQL queries over

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Improved Database Schema Development for OWL2

References [1] H. Gorskis and A. Borisov, “Storing an OWL 2 Ontology in a Relational Database Structure,” in Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference, vol. 3, 2015, pp. 71-75. https://doi.org/10.17770/etr2015vol3.168 [2] The Apache Jena homepage. [Online]. Available: https://jena.apache.org Accessed: March 20, 2016. [3] M. Sir, Z. Bradac and P. Fiedler, “Ontology versus Database,” in IFACPapersOnLine, vol. 48, issue 4, pp. 220-225, 2015. https

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Databases and Associated Bioinformatic Tools in Studies of Food Allergens, Epitopes and Haptens – a Review

-3274. 4. Atwood T.K., Bongcam-Rudloff E., Brazas M.E., Corpas M., Gaudet P., Lewitter F., Mulder N., Palagi P.M., Schneider M.V., van Gelder C.W.G., GOBLET Consortium, GOBLET: The Global Organisation for Bioinformatics Learning. Education and Training. PLoS Comput. Biol., 2015, 11, Article No e1004143. 5. Bhasin M., Singh H., Raghava G.P.S., MHCBN: a comprehensive database of MHC binding and non-binding peptides. Bioinformatics, 2003, 19, 665-666. 6. Blythe M.J., Doytchinova I.A., Flower D.R., JenPep: a database of quantitative

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Introducing the FIDENTIS 3D Face Database

References 3D RMA Database, Available at: http://www.sic.rma.ac.be/~beumier/DB/3d_rma.html (Accessed 9.1.2018). Alley TR. 2013. Social and Applied Aspects of Perceiving Faces. Psychology Press. Atabaki A, Marciniak K, Dicke PW, Their P. 2015. Assessing the precision of gaze following using a stereoscopic 3D virtual reality setting. Vision Res 112:68-82. Binghamton University 3D Facial Expression Database (BU3DFE). Available at: http://www.cs.binghamton.edu/~lijun/Research/3DFE/3DFE

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Overview of Modern Nosql Database Management Systems. Case Study: Apache Cassandra

References [1] https://en.wikipedia.org/wiki/NoSQL [2] N.Q.Mehmood, R.Culmone, L. Mostarda: Modeling temporal aspects of sensor data for MongoDB NoSQL database , J Big Data(2017) 4:8 [3] http://cassandra.apache.org

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“Municipal settlements of Ukraine” database and its possible application spheres

.Y. editors, М.: MAKS Press. Geoinformatika (Geoinformation science)., 2005: Ucheb. dlya stud. vuzov, Kapralov, Y.G., Koshkarev, A.V., Tikunov, V.S. editors, М.: Izd. Center “Akademiya”. Hansen, G.W. and Hansen J.V., 1992: Database Management and Design. - New Jersey: Prentice-Hall, Inc. Istoriya mist i sil URSR, (History of cities and villages of the USSR)., 1967-1974: U 26 tomakh. (P. Tronko editor). Kozachenko, Т.I., Parkhomenko, G.О. and Molochko, A.М., 1999: Kartografichne modelyuvannya (Cartographic

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Object-Relational Database Structure Model and Structure Optimisation

R eferences [1] E. F. Codd, “A Relational Model of Data for Large Shared Data Banks,” Communications of the ACM , vol. 13, no. 6, pp. 377–387, Jun. 1970. https://doi.org/10.1145/362384.362685 [2] J. Pokorny, “Databases in the 3rd Millennium: Trends and Research Directions,” Journal of Systems Integration , vol. 1, pp. 3–15, 2010. [3] E. F. Codd, Relational Model for Database Management: Version 2 . London: Addison–Wesley, 1990. [4] The Committee for Advanced DBMS Function, “Third-Generation Database Systems Manifesto,” Computer

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Building Ontology from Relational Database/ Ontoloģiju izveide no relāciju datubāzes/ Построение онтологии по реляционной базе данных

References [1] E. F. Codd, “A Relational Model of Data for Large Shared Data Banks”, Communications of ACM, vol. 13, no. 6, June 1970, pp. 377-387. [2] T. R. Gruber, “A translation approach to portable ontology specifications”, technical report KSL 92-71, 1993. [3] C. J. Date, An introduction to Database Systems, 8th ed., Addison- Wesley, 2004, p. 1024. [4] H. A. Santoso, S. C. Haw, Z. N. Abdul-Mehdi, “Ontology extraction from relational database: Concept hierarchy as background knowledge

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Designing the Database of Speech Under Stress

References [1] Hansen, J. H., Bou-Ghazale, S. E., Sarikaya, R., and Pellom, B. (1997). Getting started with SUSAS: a speech under simulated and actual stress database. Eurospeech , 97(4):1743–1746. [2] Hansen, J. H. SUSAS LDC99S78. Web Download. Philadelphia: Linguistic Data Consortium, 1999. Accessible at: https://catalog.ldc.upenn.edu/LDC99S78 . [3] Sabo, R., Rusko, M., Ridzik, A., and Rajčáni, J. (2016). Stress, Arousal, and Stress Detector Trained on Acted Speech Database. In International Conference on Speech and Computer , pages 675

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