Academic literature on the topic 'Management of databases'

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Journal articles on the topic "Management of databases"

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Petkov, Yulian Ivanov, and Alexandre Ivanov Chikalanov. "Innovative Proposals for Database Storage and Management." Mathematics and Informatics LXV, no. 1 (February 28, 2022): 45–52. http://dx.doi.org/10.53656/math2022-1-6-inn.

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At present, the problem of storing large data sets as a source of artificial intelligence acquires a geopolitical and strategic character. The most well-known and used type of databases so far are the relational (SQL databases) and nonrelational (NoSQL databases. The both approaches have some principle problems, which are described below. That publication presents two original approaches to overcoming some of these shortcomings. First one is Object-oriented model for storing data in a relational database. The second is Storage of non-relational data in a relational database according to previously freely created by the user models. Presented models were used as base for software development of more than ten middle and large size national and European scientific and industrial projects.
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Mershad, Khaleel, and Ali Hamieh. "SDMS: smart database management system for accessing heterogeneous databases." International Journal of Intelligent Information and Database Systems 14, no. 2 (2021): 115. http://dx.doi.org/10.1504/ijiids.2021.114513.

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Mershad, Khaleel, and Ali Hamieh. "SDMS: smart database management system for accessing heterogeneous databases." International Journal of Intelligent Information and Database Systems 14, no. 2 (2021): 115. http://dx.doi.org/10.1504/ijiids.2021.10035961.

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Kretzschmar, William A., and Rafal Konopka. "Management of Linguistic Databases." Journal of English Linguistics 24, no. 1 (March 1996): 61–70. http://dx.doi.org/10.1177/007542429602400106.

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Armstrong, C. J. "World databases in management." Long Range Planning 29, no. 4 (August 1996): 592. http://dx.doi.org/10.1016/0024-6301(96)81510-x.

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Adcock, Stephen W. "Management of geological databases." Computers & Geosciences 19, no. 8 (September 1993): 1211. http://dx.doi.org/10.1016/0098-3004(93)90025-z.

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Bhatewara, Ankita, and Kalyani Waghmare. "Highly Scalable Network Management Solution Using Cassandra." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 13, no. 10 (October 30, 2014): 5085–89. http://dx.doi.org/10.24297/ijct.v13i10.2330.

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With the current emphasis on Big Data, NOSQL databases have surged in popularity. These databases are claimed to perform better than SQL databases. The traditional database is designed for the structured data and the complex query. In the environment of the cloud, the scale of data is very large, the data is non-structured, the request of the data is dynamic, these characteristics raise new challenges for the data storage and administration, in this context, the NOSQL database comes into picture. This paper discusses about some non-structured databases. It also shows how Cassandra is used to improve the scalability of the network compared to RDBMS.
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Robeson, Michael S., Devon R. O’Rourke, Benjamin D. Kaehler, Michal Ziemski, Matthew R. Dillon, Jeffrey T. Foster, and Nicholas A. Bokulich. "RESCRIPt: Reproducible sequence taxonomy reference database management." PLOS Computational Biology 17, no. 11 (November 8, 2021): e1009581. http://dx.doi.org/10.1371/journal.pcbi.1009581.

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Nucleotide sequence and taxonomy reference databases are critical resources for widespread applications including marker-gene and metagenome sequencing for microbiome analysis, diet metabarcoding, and environmental DNA (eDNA) surveys. Reproducibly generating, managing, using, and evaluating nucleotide sequence and taxonomy reference databases creates a significant bottleneck for researchers aiming to generate custom sequence databases. Furthermore, database composition drastically influences results, and lack of standardization limits cross-study comparisons. To address these challenges, we developed RESCRIPt, a Python 3 software package and QIIME 2 plugin for reproducible generation and management of reference sequence taxonomy databases, including dedicated functions that streamline creating databases from popular sources, and functions for evaluating, comparing, and interactively exploring qualitative and quantitative characteristics across reference databases. To highlight the breadth and capabilities of RESCRIPt, we provide several examples for working with popular databases for microbiome profiling (SILVA, Greengenes, NCBI-RefSeq, GTDB), eDNA and diet metabarcoding surveys (BOLD, GenBank), as well as for genome comparison. We show that bigger is not always better, and reference databases with standardized taxonomies and those that focus on type strains have quantitative advantages, though may not be appropriate for all use cases. Most databases appear to benefit from some curation (quality filtering), though sequence clustering appears detrimental to database quality. Finally, we demonstrate the breadth and extensibility of RESCRIPt for reproducible workflows with a comparison of global hepatitis genomes. RESCRIPt provides tools to democratize the process of reference database acquisition and management, enabling researchers to reproducibly and transparently create reference materials for diverse research applications. RESCRIPt is released under a permissive BSD-3 license at https://github.com/bokulich-lab/RESCRIPt.
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MEWES, H. W., A. ELZANOWSKI, and D. G. GEORGE. "Protein sequence databases: database management, data structures and data access." Biochemical Society Transactions 17, no. 5 (October 1, 1989): 843–45. http://dx.doi.org/10.1042/bst0170843.

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Chapman, Karen, and Paul Brothers. "Database Coverage for Research in Management Information Systems." College & Research Libraries 67, no. 1 (January 1, 2006): 50–62. http://dx.doi.org/10.5860/crl.67.1.50.

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This study examines the database coverage of management information systems (MIS) journals and journal articles referenced by MIS researchers. Lists of titles and references were checked for coverage in twelve databases representing a variety of vendors: five multidisciplinary databases, four business databases, and three computer science or applied science databases. The best coverage of MIS journals is found in ABI/INFORM Global and Business Source Premier. The best coverage of articles referenced by MIS scholars is offered by the same two databases, although Business Source Premier offers significantly more full text. Business Source Premier and Web of Science provide the best coverage for any pair of the databases.
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Dissertations / Theses on the topic "Management of databases"

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Alkahtani, Mufleh M. "Modeling relational database management systems." Virtual Press, 1993. http://liblink.bsu.edu/uhtbin/catkey/865955.

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Almost all of the database products developed over the past few years are based on what is called the relational approach.The purpose of this thesis is to characterize a relational data base management system, we do this by studying the relational model in some depth.The relational model is not static, rather it has been evolving over time. We trace the evolution of the relational model. We will also consider the ramifications of the relational model for modern database systems.
Department of Computer Science
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Vargas, Herring Luis Carlos. "Integrating databases and publish/subscribe." Thesis, University of Cambridge, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609151.

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Zhang, Hao. "Querying databases a tale of two C# approaches /." Click here for download, 2010. http://proquest.umi.com.ps2.villanova.edu/pqdweb?did=2019786971&sid=1&Fmt=2&clientId=3260&RQT=309&VName=PQD.

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Aleksic, Mario. "Incremental computation methods in valid and transaction time databases." Thesis, Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/8126.

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Sullivan, Larry. "Performance issues in mid-sized relational database machines /." Online version of thesis, 1989. http://hdl.handle.net/1850/10445.

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Ge, Shen, and 葛屾. "Advanced analysis and join queries in multidimensional spaces." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B49799332.

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Multidimensional data are ubiquitous and their efficient management and analysis is a core database research problem. There are lots of previous works focusing on indexing, analyzing and querying multidimensional data. In this dissertation, three challenging advanced analysis and join problems in multidimensional spaces are proposed and studied, providing efficient solutions to their related applications. First, the problem of generalized budget constrained optimization query (Gen-BOQ) is studied. In real life, it is often difficult for manufacturers to create new products dominating their competitors, due to some constraints. These constraints can be modeled by constraint functions, and the problem is then to decide the best possible regions in multidimensional spaces where the features of new products could be placed. Using the number of dominating and dominated objects, the profitability of these regions can be evaluated and the best areas are then returned. Although GenBOQ computation is challenging due to its high complexity, an efficient divide-and-conquer based framework is offered for this problem. In addition, an approximation method is proposed, making tradeoffs between the result quality and the query cost. Next, the efficient evaluation of all top-k queries (ATOPk) in multidimensional spaces is investigated, which compute the top ranked objects for a group of preference functions simultaneously. As an application of such a query, consider an online store, which needs to provide recommendations for a large number of users simultaneously. This problem is somewhat overlooked by past research; in this thesis, batch algorithms are proposed instead of naïvely evaluating top-k queries individually. Similar preferences are grouped together, and two algorithms are proposed, using block indexed nested loops and a view-based thresholding strategy. The optimized view-based threshold algorithm is demonstrated to be consistently the best. Moreover, an all top-k query helps to evaluate other queries relying on the results of multiple top-k queries, such as reverse top-k queries and top-m influential queries proposed in previous works. It is shown that applying the view-based approach to these queries can improve the performance of the current state-of-the-art by orders of magnitude. Finally, the problem of spatio-textual similarity joins (ST-SJOIN) on multidimensional data is considered. Given both spatial and textual information, ST-SJOIN retrieves pairs of objects which are both spatially close and textually similar. One possible application of this query is friendship recommendation, by matching people who not only live nearby but also share common interests. By combining the state-of-the-art strategies of spatial distance joins and set similarity joins, efficient query processing algorithms are proposed, taking both spatial and textual constraints into account. A batch processing strategy is also introduced to boost the performance, which is also effective for the original textual-only joins. Using synthetic and real datasets, it is shown that the proposed techniques outperform the baseline solutions.
published_or_final_version
Computer Science
Doctoral
Doctor of Philosophy
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Khayundi, Peter. "A comparison of open source object-oriented database products." Thesis, University of Fort Hare, 2009. http://hdl.handle.net/10353/254.

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Object oriented databases have been gaining popularity over the years. Their ease of use and the advantages that they offer over relational databases have made them a popular choice amongst database administrators. Their use in previous years was restricted to business and administrative applications, but improvements in technology and the emergence of new, data-intensive applications has led to the increase in the use of object databases. This study investigates four Open Source object-oriented databases on their ability to carry out the standard database operations of storing, querying, updating and deleting database objects. Each of these databases will be timed in order to measure which is capable of performing a particular function faster than the other.
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Huang, Jianyuan. "Computer science graduate project management system." CSUSB ScholarWorks, 2007. https://scholarworks.lib.csusb.edu/etd-project/3250.

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This project is a development and tracking system for graduate students in the Department of Computer Science of CSUSB. This project will cover front-end web site development, back-end database design and security. This website provides secure access to information about ideas for projects, status on on-going projects, and reports of finished projects using My SQL and Apache Tomcat.
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Sun, Jimeng. "Analysis of predictive spatio-temporal queries /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?COMP%202003%20SUN.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003.
Includes bibliographical references (leaves 62-65). Also available in electronic version. Access restricted to campus users.
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Jakobovits, Rex M. "The Web interfacing repository manager : a framework for developing web-based experiment management systems /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/7007.

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Books on the topic "Management of databases"

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Management of geological databases. Oxford, England: Pergamon Press, 1992.

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Databases. Exeter, UK: Crucial, 2003.

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Winslett, Marianne Southall. Updating logical databases. Cambridge: Cambridge University Press, 2005.

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Abiteboul, S. Foundations of databases. Reading, Mass: Addison-Wesley, 1995.

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Winslett, Marianne Southall. Updating logical databases. Cambridge: Cambridge University Press, 1990.

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J, Sadalage Pramod, ed. Refactoring databases: Evolutionary database design. Upper Saddle River, NJ, USA: Addison Wesley, 2006.

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Handbook of database management and distributed relational databases. Blue Ridge Summit, PA: TAB Professional and Reference Books, 1989.

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N, Chorafas Dimitris. Handbook of database management and distributed relational databases. Princeton, N.J: Petrocelli Books, 1989.

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Relational databases. Englewood Cliffs, N.J: Prentice-Hall, 1986.

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Saeed, Rahimi, ed. Tutorial--distributed database management. Silver Spring, MD: IEEE Computer Society Press, 1985.

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Book chapters on the topic "Management of databases"

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Leigh, Andrew. "Databases." In Understanding Management Software, 111–26. London: Macmillan Education UK, 1985. http://dx.doi.org/10.1007/978-1-349-08592-7_9.

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Mallach, Efrem G. "Data, Databases, and Database Management." In Information Systems, 115–48. Second edition. | Boca Raton, FL : CRC Press, [2020] |: CRC Press, 2020. http://dx.doi.org/10.1201/9780429061011-5.

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Wortmann, Johan C. "Databases." In Computer-Aided Production Management, 169–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73318-5_11.

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Hilger, Joseph, and Zachary Wahl. "Graph Databases." In Making Knowledge Management Clickable, 199–208. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92385-3_13.

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Gosling, Peter. "Windows-based database management programs." In Mastering Databases, 198–231. London: Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-13787-9_13.

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Prabhakaran, B. "Querying Multimedia Databases." In Multimedia Database Management Systems, 141–54. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6235-1_6.

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Meier, Andreas, and Michael Kaufmann. "Data Management." In SQL & NoSQL Databases, 1–23. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-24549-8_1.

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Stoller, Scott D. "Trust Management in Databases." In Encyclopedia of Cryptography and Security, 1326–27. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-5906-5_693.

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Stoller, Scott D. "Trust Management in Databases." In Encyclopedia of Cryptography, Security and Privacy, 1–3. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-642-27739-9_693-2.

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Harvey, Charles, and Jon Press. "Database Management Software." In Databases in Historical Research, 47–72. London: Macmillan Education UK, 1996. http://dx.doi.org/10.1007/978-1-349-24392-1_3.

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Conference papers on the topic "Management of databases"

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Xu, Wenhao, Jing Li, Yongwei Wu, Xiaomeng Huang, and Guangwen Yang. "VDM: Virtual Database Management for Distributed Databases and File Systems." In 2008 Seventh International Conference on Grid and Cooperative Computing (GCC). IEEE, 2008. http://dx.doi.org/10.1109/gcc.2008.42.

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Ordonez, Carlos, Zhibo Chen, and Javier García-García. "Metadata management for federated databases." In the ACM first workshop. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1317353.1317361.

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Cheung, Shun Yan, James J. Lu, and Catharine M. Wyss. "Metadata management and relational databases." In the 43rd annual southeast regional conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1167350.1167418.

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Buneman, Peter, Adriane Chapman, and James Cheney. "Provenance management in curated databases." In the 2006 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1142473.1142534.

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Mok, Wai Yin. "A Logical Database Design Methodology for MongoDB NoSQL Databases." In 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2021. http://dx.doi.org/10.1109/ieem50564.2021.9673004.

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Das, Sudipto, Miroslav Grbic, Igor Ilic, Isidora Jovandic, Andrija Jovanovic, Vivek R. Narasayya, Miodrag Radulovic, Maja Stikic, Gaoxiang Xu, and Surajit Chaudhuri. "Automatically Indexing Millions of Databases in Microsoft Azure SQL Database." In SIGMOD/PODS '19: International Conference on Management of Data. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3299869.3314035.

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Rabuzin, Kornelije, Sonja Ristić, and Robert Kudelić. "GRAPH DATABASE MANAGEMENT SYSTEMS AND GRAPH THEORY." In Fourth International Scientific Conference ITEMA Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/itema.2020.39.

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In recent years, graph databases have become far more important. They have been proven to be an excellent choice for storing and managing large amounts of interconnected data. Since graph databases (GDB) rely on a graph data model based on graph theory, this study examines whether currently available graph database management systems support the principles of graph theory, and, if so, to what extent. We also show how these systems differ in terms of implementation and languages, and we also discuss which graph database management systems are used today and why.
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Abdul-Mehdi, Ziyad T., and Ramlan Mahmod. "Security Management Model for Mobile Databases Transaction Management." In Communication Technologies: from Theory to Applications (ICTTA). IEEE, 2008. http://dx.doi.org/10.1109/ictta.2008.4530294.

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Meneghetti, Niccolo', Oliver Kennedy, and Wolfgang Gatterbauer. "Beta Probabilistic Databases." In SIGMOD/PODS'17: International Conference on Management of Data. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3035918.3064026.

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Jeung, Hoyoung. "Mobile Sensor Databases." In 2011 12th IEEE International Conference on Mobile Data Management (MDM). IEEE, 2011. http://dx.doi.org/10.1109/mdm.2011.34.

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Reports on the topic "Management of databases"

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Ullman, Jeffrey D., and Jennifer Widom. Efficient Management of Active Databases. Fort Belvoir, VA: Defense Technical Information Center, February 1998. http://dx.doi.org/10.21236/ada344235.

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Fong, Elizabeth N., Charles L. Sheppard, and Kathryn A. Harvill. Guide to design, implementation and management of distributed databases. Gaithersburg, MD: National Institute of Standards and Technology, 1991. http://dx.doi.org/10.6028/nist.sp.500-185.

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Cave, M. P. Management of New Zealand's mineral and energy information databases. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1994. http://dx.doi.org/10.4095/193955.

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Laramée, R. M. Source code for GlobalDBSystem, data management interfaces for mineral deposit databases, World Minerals Geoscience Database Project. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2015. http://dx.doi.org/10.4095/296953.

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Brundick, Frederick S., Jr Hartwig, Chamberlain George W., and Samuel C. IChart: A Graphical Tool to View and Manipulate Force Management Structure Databases. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada491913.

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Korotun, Olha V., Tetiana A. Vakaliuk, and Vladimir N. Soloviev. Model of using cloud-based environment in training databases of future IT specialists. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3865.

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The authors substantiates and develops the model of using cloud-based environment (CBE) in the training of databases of future information technology (IT) specialists, which consists of interrelated units: target (purpose, task of using CBE), conceptual (pedagogical approaches, didactic principles), organizational and semantic (characteristics of CBE, basic requirements for CBE, subjects of training, CBE of the teacher, CBE of the student, curricula of institution of higher education, educational-methodical complex of discipline “Databases”, installation and configuration of database management system, development of educational material from the database in electronic form, selection of cloud-based systems of distance learning, introduction of cloud-based systems of distance learning in the training of students’ databases, selection of CBE in database training (databases, forms, methods, tools), evaluative (criteria, indicators, levels of professional and practical competence of future IT specialists on the use of CBE in database training), effective (increased formation of the information and communication technologies of future IT specialists on the use of CBE in database training).
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Pokryshen, Dmytro A., Evgeniy H. Prokofiev, and Albert A. Azaryan. Blogger and YouTube services at a distant course “Database management system Microsoft Access”. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3272.

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The article is devoted to the coverage of the course “Database management system Microsoft Access”, an educational blog review “The development of a creative child. ІCТ”, which is used as an auxiliary tool for promoting a course and teacher in the Internet, structural analysis of this blog is made. The channel location is set on YouTube video hosting and how it is used in the course on databases. Attention is drawn to the fact that theoretical and practical material is considered on real, implemented informational and analytical systems. To prepare students for the Olympiads and provide methodological help teachers of computer science are looking at tasks from databases that were offered at the All-Ukrainian Olympiads on Information Technologies, especially II, III and IV stages (offline and online Olympiads), which are located in open access to the blog and YouTube channel. The main focus of the article is devoted to the practical side of teaching teachers of computer science, experience in using the above technologies.
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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Feature and Content Layer, intended to contain image visual features such as contours, shapes,etc.; (2) Object Layer, which provides the (conceptual) content dimension of images; and (3) Schema Layer, which contains the structured abstractions of images, i.e., a general schema about the classes of objects represented in the object layer. We propose two abstract languages on the basis of description logics: one for describing knowledge of the object and schema layers, and the other, more expressive, for making queries. Queries can refer to the form dimension (i.e., information of the Feature and Content Layer) or to the content dimension (i.e., information of the Object Layer). These languages employ a variable free notation, and they are well suited for the design, verification and complexity analysis of algorithms. As the amount of information contained in the previous layers may be huge and operations performed at the Feature and Content Layer are time-consuming, resorting to the use of materialized views to process and optimize queries may be extremely useful. For that, we propose a formal framework for testing containment of a query in a view expressed in our query language. The algorithm we propose is sound and complete and relatively efficient.
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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Feature and Content Layer, intended to contain image visual features such as contours, shapes,etc.; (2) Object Layer, which provides the (conceptual) content dimension of images; and (3) Schema Layer, which contains the structured abstractions of images, i.e., a general schema about the classes of objects represented in the object layer. We propose two abstract languages on the basis of description logics: one for describing knowledge of the object and schema layers, and the other, more expressive, for making queries. Queries can refer to the form dimension (i.e., information of the Feature and Content Layer) or to the content dimension (i.e., information of the Object Layer). These languages employ a variable free notation, and they are well suited for the design, verification and complexity analysis of algorithms. As the amount of information contained in the previous layers may be huge and operations performed at the Feature and Content Layer are time-consuming, resorting to the use of materialized views to process and optimize queries may be extremely useful. For that, we propose a formal framework for testing containment of a query in a view expressed in our query language. The algorithm we propose is sound and complete and relatively efficient.
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Bennis, Jerry. Technical Assessment of Selected Integrated Databases Within DoD for the Deputy Director for Finance, Personnel, and Health Functional Information Management. Version 1.0. Fort Belvoir, VA: Defense Technical Information Center, November 1992. http://dx.doi.org/10.21236/ada262637.

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