Building deductive object-oriented database systems in the ODMG era
Deductive object-oriented database systems (DOODs) have been a subject of intensive research for the last 13 years, with results embodied in several research prototypes and one commercial system produced so far [1]. However, despite the considerable number of systems available, there has been surpri...
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| Published in | Information and software technology Vol. 43; no. 8; pp. 519 - 526 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier B.V
01.07.2001
Elsevier Science Ltd |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0950-5849 1873-6025 |
| DOI | 10.1016/S0950-5849(01)00155-0 |
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| Abstract | Deductive object-oriented database systems (DOODs) have been a subject of intensive research for the last 13 years, with results embodied in several research prototypes and one commercial system produced so far
[1]. However, despite the considerable number of systems available, there has been surprisingly little work on organising and analysing the several system architectures and query processing strategies that have been employed in the construction of DOODs. Furthermore, with the consolidation of the ODMG specification as a standard for object databases, it is important to assess which architectural approach is better suited for building DOODs considering the ODMG framework. This paper categorises several representative DOOD systems based on their architecture and query processing approach, and provides an analysis of the issues involved in building DOOD systems compliant with the ODMG standard. |
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| AbstractList | Deductive object-oriented database systems (DOOD) have been a subject of intensive research for the last 13 years, with results embodied in several research prototypes and one commercial system produced so far. However, despite the considerable number of systems available, there has been surprisingly little work on organizing and analyzing the several system architectures and query processing strategies that have been employed in the construction of DOODs. Furthermore, with the consolidation of the ODMG specification as a standard for object databases, it is important to assess which architectural approach is better suited for building DOODs considering the ODMG framework. This paper categorizes several representative DOOD systems based on their architecture and query processing approach, and provides an analysis of the issues involved in building DOOD systems compliant with the ODMG standard. Despite the considerable number of deductive object oriented database systems (DOODs) available, there has been little work on organizing and analyzing the several system architectures and query processing strategies that have been employed in their construction. Furthermore, with the consolidation of the Object Data Management Group (ODMG) specification as a standard for object databases, it is important to assess which architectural approach is better suited for building DOODs considering the ODMG framework. Categorizes several representative DOOD systems based on their architecture and query processing approach, and provides an analysis of the issues involved in building DOOD systems compliant with the ODMG standard. (Original abstract - amended) Deductive object-oriented database systems (DOODs) have been a subject of intensive research for the last 13 years, with results embodied in several research prototypes and one commercial system produced so far [1]. However, despite the considerable number of systems available, there has been surprisingly little work on organising and analysing the several system architectures and query processing strategies that have been employed in the construction of DOODs. Furthermore, with the consolidation of the ODMG specification as a standard for object databases, it is important to assess which architectural approach is better suited for building DOODs considering the ODMG framework. This paper categorises several representative DOOD systems based on their architecture and query processing approach, and provides an analysis of the issues involved in building DOOD systems compliant with the ODMG standard. |
| Author | Falcone Sampaio, Pedro R |
| Author_xml | – sequence: 1 givenname: Pedro R surname: Falcone Sampaio fullname: Falcone Sampaio, Pedro R email: sampaiop@cs.man.ac.uk organization: Department of Computer Science, University of Manchester, Oxford Road, Manchester M13 9PL, UK |
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| Cites_doi | 10.1007/BF01530926 10.1007/BFb0053478 10.1145/356924.356928 10.1007/978-1-4471-0895-5_6 10.1016/S0169-023X(00)00020-3 10.1109/ICDE.1997.582037 10.1145/130283.130322 10.1016/S0306-4379(98)00030-1 10.1145/582095.582099 10.1007/3-540-60043-4_81 10.1007/BFb0014147 10.1007/BFb0022054 10.1145/16894.16859 10.1145/320455.320457 10.1109/69.43418 10.1007/3-540-49201-1_12 10.1016/0306-4379(95)00009-S 10.1145/88636.87121 10.1145/567752.567763 10.1145/6012.15399 10.1145/227604.227624 |
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| Snippet | Deductive object-oriented database systems (DOODs) have been a subject of intensive research for the last 13 years, with results embodied in several research... Deductive object-oriented database systems (DOOD) have been a subject of intensive research for the last 13 years, with results embodied in several research... Despite the considerable number of deductive object oriented database systems (DOODs) available, there has been little work on organizing and analyzing the... |
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| SubjectTerms | Architecture Computer architecture Computer science Database management systems DBMS architectures Deductive databases Object databases Object oriented programming Object oriented technology ODMG standard R&D Research & development Studies |
| Title | Building deductive object-oriented database systems in the ODMG era |
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