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Relevant bibliographies by topics / OODBMS

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Academic literature on the topic 'OODBMS'

Author: Grafiati

Published: 4 June 2025

Last updated: 7 July 2025

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Journal articles on the topic "OODBMS"

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Bateman, Alan, and Alan F. Smeaton. "Evaluating object oriented databases." ITNOW 36, no. 3 (1994): 20–26. https://doi.org/10.1093/combul/36.3.20.

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Abstract As the computing world embraces the trend towards object orientation, recent years have seen the introduction of object oriented databases (OODBMS) onto the commercial market. Many application developers are now faced with decisions regarding not just which OODBMS to use but whether to use an object oriented database at all. In this paper we briefly review the emergence of benchmarking suites for OODBMS and we list some guidelines which the potential OODBMS user should bear in mind.

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Ingolikar, Ranjana, Rasika Khandal, and Rahul Mohare. "Algorithm for the storage of questionnaire data in OODBMS." COMPUSOFT: An International Journal of Advanced Computer Technology 03, no. 04 (2014): 686–90. https://doi.org/10.5281/zenodo.14715566.

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This is an exploratory approach of designing the generalized algorithm for only storing the responses where the researcher had used db4o and .NET framework for some illustrative construction of a s imple prototype. The purpose of this paper is to propose a method of storage for transforming response of a structured questionnaire from MS-Excel to OODBMS model. To propose a generalized algorithm that will illustrate the said purpose of storing respon ses in OODBMS model. To explore the transforming of response storage from MS -Excel to object oriented data model, a questionnaire designed by a business management researcher is used for illustration. By using given steps of algorithm the simple excel response sheet can be transformed into OODBMS model. It has been found that the proposed algorithm can be used for storing responses of questionnaire into the OODBMS database. 

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Buchmann, A. P., A. Deutsch, J. Zimmermann, and M. Higa. "The REACH active OODBMS." ACM SIGMOD Record 24, no. 2 (1995): 476. http://dx.doi.org/10.1145/568271.223889.

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Sandhu, Ravi. "Security for OODBMS (or systems)." ACM SIGPLAN Notices 28, no. 10 (1993): 307. http://dx.doi.org/10.1145/167962.165915.

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Yatsenko, E. A. "Overview of Object-Oriented Paradigm in an Appendix to the Development of Databases." Vestnik NSU. Series: Information Technologies 17, no. 3 (2019): 123–34. http://dx.doi.org/10.25205/1818-7900-2019-17-3-123-134.

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The article provides an overview of projects, technologies, software products developed to implement the ideas of an object-oriented approach to database design. In the 80s of the 20th century, there were many projects devoted to the idea of OODB, many experts expected that in the near future relational databases would be crowded out with objectoriented ones. Despite the impressive number of projects conducted by both teams of scientists and commercial companies focused on practical implementation, there was no clear formulation of an object-oriented data model, each team presented its own vision of applying object-oriented concepts to database design. The absence of a universal data model, with a well-developed mathematical apparatus (as in the case of relational databases), is still the main problem in the distribution of an OODBMS. However, the use of relational DBMS raises a lot of problems that are most acutely felt in areas such as computer-aided design, computer-aided production, knowledge-based systems, and others. OODB allow to combine the program code and data, to avoid differences between the representations of information in the database and the application program, as a result of which modern developers show interest in them. There are a lot of OODBMS, but they cannot compete with the largest storage organization systems.

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Mandapuram, Mounika, and Md Faruk Hosen. "The Object-Oriented Database Management System versus the Relational Database Management System: A Comparison." Global Disclosure of Economics and Business 7, no. 2 (2018): 89–96. http://dx.doi.org/10.18034/gdeb.v7i2.657.

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Both object-oriented and relational database management systems are referred to as DBMS. The web-scale is expanding at an incredible rate, and with it comes an increase in mobile applications, technologies, and social media platforms. The rapid growth of these technologies produces a variety of structured and unstructured data in various forms, each of which has various consequences for data security. Using RDBMS and OODBMS, this study's methodology outlines the development, installation, and management process of multiple and complicated data sets. This study gives a documented study comparing different kinds of data stored in databases by employing two types of database techniques: relational database method and object-oriented database technique. We use a different fingerprint database for the web and mobile devices. This database is also managed using different technologies, such as MySQL, and it accommodates data generated using distinct methods. In addition, this study explores the benefits and advantages of the various databases and determines the ideal database management system for organizations. According to the survey's findings, RDBMS stores data and the relationships between them in tables, but OODBMS stores data in objects, in a manner analogous to Object-Oriented Programming (OOP). According to the study's findings, the primary distinction between relational database management systems (RDBMS) and object-oriented database management systems (OODBMS) is that RDBMS is a Database Management System based on the relational model. In contrast, OODBMS is a Database Management System that facilitates creating and modeling data as objects.

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De Witt, David J., Jeffrey F. Naughton, John C. Shafer, and Shivakumar Venkataraman. "Parallelizing OODBMS traversals: a performance evaluation." VLDB Journal The International Journal on Very Large Data Bases 5, no. 1 (1996): 3–18. http://dx.doi.org/10.1007/s007780050012.

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Aziz, Tariq, Ehsan-ul Haq, and Dost Muhammad. "Performance based Comparison between RDBMS and OODBMS." International Journal of Computer Applications 180, no. 17 (2018): 42–46. http://dx.doi.org/10.5120/ijca2018916410.

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Manola, Frank. "The third-generation/OODBMS manifesto, commercial version." ACM SIGMOD Record 20, no. 4 (1991): 91. http://dx.doi.org/10.1145/141356.141401.

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Geetha, V., and N. Sreenath. "Augmenting the Performance of Existing OODBMS Benchmarks." International Journal of Computer Applications 40, no. 5 (2012): 41–46. http://dx.doi.org/10.5120/4956-7208.

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Dissertations / Theses on the topic "OODBMS"

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Maile, Annette. "Analyse von OODBMS für die technische Modellierung." [S.l.] : Universität Stuttgart , Fakultät Informatik, 1995. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB6783587.

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Spear, Ronald L. "A relational/object-oriented database management system : R/OODBMS." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/24026.

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Carlsson, Anders. "A guideline for evaluating OODBMSs." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik och datavetenskap, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5825.

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Object oriented databases have been around since the late 1980’s. Object oriented programming languages have been around since the sixties. Today the need for object oriented databases is growing along with the complexity of the software systems developed. There are today a number of object oriented databases available on the market. The apabilities and properties of the systems are covering a wide range, making the choice of system difficult to the developer. This thesis presents a guideline for evaluating object oriented database management systems to be able to compare different systems and chose which one to use.<br>anders@actk.net

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Dawson, Dan. "THE APPLICATION OF OBJECT-ORIENTED DATA MANAGEMENT TECHNIQUES TO T&E DATA CHALLENGES." International Foundation for Telemetering, 2006. http://hdl.handle.net/10150/604258.

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ITC/USA 2006 Conference Proceedings / The Forty-Second Annual International Telemetering Conference and Technical Exhibition / October 23-26, 2006 / Town and Country Resort & Convention Center, San Diego, California<br>This paper describes an adaptive data management architecture capable of supporting order-of-magnitude data volume increases without a priori knowledge of data structures. The architecture allows users to generate and maintain data in optimal legacy formats while managing and extracting information with common analysis tools. This paper shows how an object-oriented data management system can manage both data and the knowledge imparted to the data by users.

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Wang, Yanchao. "Protein Structure Data Management System." Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/cs_diss/20.

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With advancement in the development of the new laboratory instruments and experimental techniques, the protein data has an explosive increasing rate. Therefore how to efficiently store, retrieve and modify protein data is becoming a challenging issue that most biological scientists have to face and solve. Traditional data models such as relational database lack of support for complex data types, which is a big issue for protein data application. Hence many scientists switch to the object-oriented databases since object-oriented nature of life science data perfectly matches the architecture of object-oriented databases, but there are still a lot of problems that need to be solved in order to apply OODB methodologies to manage protein data. One major problem is that the general-purpose OODBs do not have any built-in data types for biological research and built-in biological domain-specific functional operations. In this dissertation, we present an application system with built-in data types and built-in biological domain-specific functional operations that extends the Object-Oriented Database (OODB) system by adding domain-specific additional layers Protein-QL, Protein Algebra Architecture and Protein-OODB above OODB to manage protein structure data. This system is composed of three parts: 1) Client API to provide easy usage for different users. 2) Middleware including Protein-QL, Protein Algebra Architecture and Protein-OODB is designed to implement protein domain specific query language and optimize the complex queries, also it capsulates the details of the implementation such that users can easily understand and master Protein-QL. 3) Data Storage is used to store our protein data. This system is for protein domain, but it can be easily extended into other biological domains to build a bio-OODBMS. In this system, protein, primary, secondary, and tertiary structures are defined as internal data types to simplify the queries in Protein-QL such that the domain scientists can easily master the query language and formulate data requests, and EyeDB is used as the underlying OODB to communicate with Protein-OODB. In addition, protein data is usually stored as PDB format and PDB format is old, ambiguous, and inadequate, therefore, PDB data curation will be discussed in detail in the dissertation.

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Xu, Zhi-Shun, and 許致順. "Benchmark workload modeling for OODBMS." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/41787399014152665235.

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Fong, Shun-Ei, and 方相宜. "Client/Server OODBMS Benchmark Workload Modeling." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/10718256922885813487.

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碩士<br>國立政治大學<br>資訊管理學系<br>87<br>As the improving of network technology, the data of database is no more stored on the same site. So the distributed database system is more and more popular. Existing object-oriented database benchmarks have the following drawbacks:1.They are designed to the specific domains , so the workload models of theirs are unable to fully reprent user requirements . 2. They are designed to the specific data models , and their intentions are to measure the techniques and performance of database design . 3.As the database schemes are more complicated and test operations are more myriad , it will be harder and harder for users to implement the benchmark. 4.They can not really measure the performance on the specific domains of users. In order to resolve the above problems , this thesis tries to model user's requirements workload using system analysis method . Because our database benchmark schemes and operations are derived from the user's requirements , the workload will be more consistent , more representative and more accurate and the result will be useful and meaningful to user . In order to apply the model we propose , we develop the prototype of the workload specification generator . After users have finished editing their workload model with the visual graphic notations , the system will generate workload specifications which will be used in the later phase . As the application domain of OODBMS are diverse and databases are huge , the trend of benchmarks is toward user requirement orientation in the future .

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Liao, Cheng-hau, and 廖丞浩. "Concurrency Control with Object Versions in OODBMS." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/50964573149467143747.

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碩士<br>國立中興大學<br>資訊科學研究所<br>87<br>To support object versions is an important function of object-oriented database systems and it needs an efficient version mechanism. On the other hand, concurrency control is also an essential function to enhance the performance of any database system. In this study we use an object version model in object-oriented database systems to enhance concurrency control. Access conflicts are reduced by employing both features of alternatives and derive operations in the object version model. Based on the traditional two-phase locking and timestamp ordering protocols, we propose two concurrency control schemes using object versions and compare the new concurrency control schemes with the traditional ones. In order to observe the concurrency gains of the two new schemes, we implement a simulation program and complete five simulation experiments. The results of these experiments prove that the new concurrency control schemes outperform their traditional counterparts.

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Sheu, Chih-Shun, and 許致順. "Benchmark Workload Modeling for OODBMS-System Analysis Orientation." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/38878312990877799362.

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碩士<br>國立政治大學<br>資訊管理學系<br>86<br>Existing object-oriented database benchmarks have the following drawbacks 1.They are designed to apply to specific domains, so the workload models of theirs are unable to fully represent user requirements 2.They are designed to apply to the specific data model, and their main intentions are to measure the techniques and therefore performance of database design. 3.As the database schemes are more complex and test operations are more myriad, it will be harder and harder for users intending to implement the benchmark according to the benchmark specification. In order to resolve the above problems, this thesis tries to model user''s workload with system analysis methods. After 1.work- load requirement analysis phase. 2.workload requirement specification phase 3.benchmark experiment phase, we will develop a benchmark application program used to benchmark the OODBMS. Because our benchmark database schemes and operations are derived from the user requirements, the workload will be more consistent, more representative and more accurate and the result will be more meaningful to users. As the application domain of OODBMS are more diverse and database are more huge, the trend of benchmarks is toward user requirement driven in the future.

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Tsai, Ming-Kuen, and 蔡明坤. "The Design and Implementation of Object-SQL Environment On OODBMS." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/99143743104487546175.

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碩士<br>國立臺灣大學<br>資訊工程研究所<br>81<br>This paper presents a query environment which is established on object-oriented database. This query environment combines the SQL syntax and the query capability of complex object, so that tradional SQL users could query the objects stored in the object-oriented database through the familiar SQL syntax. In additional to meeting the need of traditional query, this query environment focuses on the query operations of class hierarchical objects and set objects. It extends SQL syntax so that it can equip the users with the capacity of object query. As to the display of the query result, this query environment also offers the display capability of objects or tables, so that the users can select an appropriate way of display more flexibly. Based on the syntactical framework presented in this paper, we have accomplished an OSQL query environment on the P. O.E.T. object-oriented database, and created a multimedia E- mail management system based on the environment.

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Books on the topic "OODBMS"

1

Spear, Ronald L. A relational/object-oriented database management system: R/OODBMS. Naval Postgraduate School, 1992.

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Vairakkannu, Venkatesh. Migr ation from RDBMS to OODBMS: a value analysis. University of East London, 1995.

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Ehlert, Lois. Oodles of animals. Harcourt, 2008.

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PARRAGON. Oodles of doodles. Parragon Inc, 2013.

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Artell, Mike. Oodles of doodles. Sterling Pub., 2003.

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Sarah, Massini, ed. Oodles of noodles. Little Tiger, 2008.

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ill, Hoffman Sanford, ed. Oodles of riddles. Sterling Pub., 1989.

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illustrator, Kennedy Kelly, ed. Oodles of noodles. Scholastic, 2007.

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Kim, Sponaugle, ed. Gazillions, bunches, oodles & tons! AMO, 2011.

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Goldish, Meish. Toy poodle: Oodles of fun. Bearport, 2009.

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Book chapters on the topic "OODBMS"

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Rich, Christian, and Marc H. Scholl. "Query Optimization in an OODBMS." In Informatik aktuell. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-86096-6_18.

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Kroha, P. "Databridge between RDBMS and OODBMS." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60286-0_98.

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Thomas, Ian S., and Andrew C. Jones. "Visibility Issues in an active OODBMS." In OOIS’ 95. Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-1009-5_14.

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Geetha, V., and N. Sreenath. "High Concurrency for Continuously Evolving OODBMS." In Distributed Computing and Internet Technology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28073-3_9.

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Hillebrand, Gerd, Paris Kanellakis, and Sridhar Ramaswamy. "Functional Programming Formalisms for OODBMS Methods." In Advances in Object-Oriented Database Systems. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-57939-4_4.

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Benattou, Mohammed, and Lotfi Lakhal. "Incremental inheritance model for an OODBMS." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0022019.

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Meier, Andreas, Peter Bachmann, André Madörin, et al. "Einsatz OODBMS in der Praxis: Ein Triathlon." In Informatik aktuell. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60730-1_2.

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Daynès, Laurent, Olivier Gruber, and Patrick Valduriez. "Locking in OODBMS Clients Supporting Nested Transactions." In Fully Integrated Data Environments. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59623-0_35.

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Beydoun, Ghassan, and Lina Al-Jadir. "Implementing NRDR Using OO Database Management System (OODBMS)." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45683-x_73.

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Al-Jadir, Lina, and Michel Léonard. "Multiobjects to Ease Schema Evolution in an OODBMS." In Conceptual Modeling – ER ’98. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-540-49524-6_25.

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Conference papers on the topic "OODBMS"

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Buchmann, A. P., A. Deutsch, J. Zimmermann, and M. Higa. "The REACH active OODBMS." In the 1995 ACM SIGMOD international conference. ACM Press, 1995. http://dx.doi.org/10.1145/223784.223889.

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Sandhu, Ravi. "Security for OODBMS (or systems)." In the eighth annual conference. ACM Press, 1993. http://dx.doi.org/10.1145/165854.165915.

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Bertino, E., S. Salerno, and B. Shidlovsky. "Enhanced nested-inherited index for OODBMS." In the fourth international conference. ACM Press, 1995. http://dx.doi.org/10.1145/221270.221327.

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Geetha, V., and N. Sreenath. "Semantic based concurrency control in OODBMS." In 2011 International Conference on Recent Trends in Information Technology (ICRTIT). IEEE, 2011. http://dx.doi.org/10.1109/icrtit.2011.5972309.

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Carey, Michael J., Michael J. Franklin, and Markos Zaharioudakis. "Fine-grained sharing in a page server OODBMS." In the 1994 ACM SIGMOD international conference. ACM Press, 1994. http://dx.doi.org/10.1145/191839.191911.

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Christophides, V., and A. Rizk. "Querying structured documents with hypertext links using OODBMS." In the 1994 ACM European conference. ACM Press, 1994. http://dx.doi.org/10.1145/192757.192799.

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Sallam, Ibrahim. "Multidimensional Indexing in an OODBMS - a Case Study." In 2006 Canadian Conference on Electrical and Computer Engineering. IEEE, 2006. http://dx.doi.org/10.1109/ccece.2006.277747.

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M. Kowalski, Tomasz, Kamil Kuliberda, Jacek Wiślicki, and Radosław Adamus. "GENERIC APPROACH TO AUTOMATIC INDEX UPDATING IN OODBMS." In 11th International Conference on Enterprise Information Systems. SCITEPRESS - Science and Technology Publications, 2009. http://dx.doi.org/10.5220/0001834702550260.

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Carey, Michael J., David J. DeWitt, Chander Kant, and Jeffrey F. Naughton. "A status report on the OO7 OODBMS benchmarking effort." In the ninth annual conference. ACM Press, 1994. http://dx.doi.org/10.1145/191080.191147.

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Mazzuccelli, L. "A model for Java/CORBA and OODBMS distributed architectures." In Proceedings of the International Symposium on Distributed Objects and Applications. IEEE, 1999. http://dx.doi.org/10.1109/doa.1999.793988.

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