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Implementation of UNIDOOR, a Deductive Object-Oriented Database System

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Advances in Databases and Information Systems (ADBIS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4152))

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Abstract

This paper proposes the DJR approach for implementing deductive object-oriented database systems(DOOD). This technique is based on classifying DOOD features into three abstract implementation levels. The classified features are then delegated to the DJR suite, which is built around the Data Model, Java and Relational components. The use of the Java virtual machine (JVM) provides essential object-oriented features that were hard to implement and maintain. The implementation of many critical database management features is delegated to the relational back-end. As a result, only a minimal implementation effort is needed to build a very complex system. The DJR approach was used to implement our DOOD system UNIDOOR. The system was successfully and rapidly built and it supports essential object-oriented features along with the major database management features which were hard to implement in previous DOOD prototypes.

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References

  1. Abiteboul, S.: Towards a deductive object-oriented database language. Deductive and Object-Oriented Databases, 453–472 (1989)

    Google Scholar 

  2. Barja, M.L., Fernandes, A.A.A., Paton, N.W., Williams, M.H., Dinn, A., Abdelmoty, A.I.: Design and implementation of ROCK & ROLL: A deductive object-oriented database system. Information Systems 20(3), 185–211 (1995)

    Article  Google Scholar 

  3. Cacace, F., Ceri, S., Crespi-Reghizzi, S., Tanca, L., Zicari, R.: Integrating object-oriented data modelling with a rule-based programming paradigm. In: Proceedings of the 1990 ACM SIGMOD international conference on Management of data, pp. 225–236. ACM Press, New York (1990)

    Chapter  Google Scholar 

  4. Ceri, S., Gottlob, G., Tanka, L.: Logic Programming and Databases. Surveys in Computer Science (1990)

    Google Scholar 

  5. Ceri, S., Manthey, R.: Chimera: A model and language for active DOOD systems. In: East/West Database Workshop, pp. 3–16 (1994)

    Google Scholar 

  6. Fernandes, A.A.A., Paton, N.W., Williams, M.H., Bowles, A.: Approaches to Deductive Object-Oriented Databases. Information and Software Technology 34(12), 787–803 (1992)

    Article  Google Scholar 

  7. Friesen, O., Lefebvre, A., Vieille, L.: Validity: Applications of a DOOD system. In: Apers, P.M.G., Bouzeghoub, M., Gardarin, G. (eds.) EDBT 1996. LNCS, vol. 1057, pp. 131–134. Springer, Heidelberg (1996)

    Chapter  Google Scholar 

  8. Himmeröder, R., Lausen, d., Ludäscher, B., Schlepphorst, S.: Florid: A DOOD-system for querying the web (1998)

    Google Scholar 

  9. Jaber, M.K., Voronkov, A.: Deductive object-oriented database systems: From an evolutionary perspective, draft (2005)

    Google Scholar 

  10. Jarke, M., Gallersdorfer, R., Jeusfeld, M., Staudt, M., Eherer, S.: Conceptbase - a deductive object base for meta data management. Journal on Intelligent Information Systems 4(2), 167–192 (1995)

    Article  Google Scholar 

  11. Kifer, M., Lausen, G.: F-logic: A higher-order language for reasoning about objects, inheritance, and scheme. In: Proceedings of the 1989 ACM SIGMOD international conference on Management of data, pp. 134–146. ACM Press, New York (1989)

    Chapter  Google Scholar 

  12. Li, X., Liu, M.: Design and implementation of the OLOG deductive object-oriented database management system. Database and Expert Systems Applications, 764–773 (2000)

    Google Scholar 

  13. D. Maier. A logic for objects. Technical Report CS/E-86-012, 11 (1986)

    Google Scholar 

  14. Mumick, I., Ross, K., Sudershan, S.: Design and implementation of the sword declarative object-oriented database system (1993)

    Google Scholar 

  15. Mumick, I.S., Ross, K.A.: Noodle: A language for declarative querying in an object-oriented database. Deductive and Object-Oriented Databases, 360–378 (1993)

    Google Scholar 

  16. Ramakrishnan, R., Srivastava, D., Sudarshan, S., Seshadri, P.: The CORAL deductive system. The VLDB Journal:The International Journal on Very Large Data Bases 3(2), 161–210 (1994)

    Article  Google Scholar 

  17. Sampaio, P., Paton, N.: Deductive queries in ODMG databases: The DOQLapproach. In: Proc. of the 5th Intl. Conference on Object-Oriented Information Systems OOIS, pp. 57–74. Springer, Heidelberg (1998)

    Google Scholar 

  18. Sampaio, P.R.F., Paton, N.W.: Deductive Object-Oriented Database Systems: A Survey. Rules in Database Systems, 1–19 (1997)

    Google Scholar 

  19. Srivastava, D., Ramakrishnan, R., Seshadri, P., Sudarshan, S.: CORAL++: Adding object-orientation to a logic database language. In: Agrawal, R., Baker, S., Bell, D.A. (eds.) 19th International Conference on Very Large Data Bases, August 24-27, 1993, Dublin, Ireland, Proceedings, pp. 158–170. Morgan Kaufmann, San Francisco (1993)

    Google Scholar 

  20. Stonebraker, M., Brown, P.: Object-Relational DBMSs,Traking the next great wave. Morgan Kaufmann, San Francisco (1999)

    Google Scholar 

  21. Ullman, J.D.: Information integration using logical views. Theoretical Computer Science 239(2), 189–210 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  22. Vaghani, J., Ramamohanarao, K., Kemp, D.B., Somogyi, Z., Stuckey, P.J., Leask, T.S., Harland, J.: The Aditi deductive database system. The VLDB Journal: The International Journal on Very Large Data Bases 3(2), 245–288 (1994)

    Article  Google Scholar 

  23. Voronkov, A.: Unidoor, a deductive object oriented data model(submited 2005)

    Google Scholar 

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Authors and Affiliations

  1. School of Computer Science, The University of Manchester, 316 Oxford Road, Manchester, M13 9PL, United Kingdom

    Mohammed K. Jaber & Andrei Voronkov

Authors
  1. Mohammed K. Jaber
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  2. Andrei Voronkov
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Editor information

Editors and Affiliations

  1. Data Engineering Research Lab. Department of Informatics, Aristotle University, 54124, Thessaloniki, Greece

    Yannis Manolopoulos

  2. Faculty of Mathematics and Physics, Charles University, Prague

    Jaroslav Pokorný

  3. Institute for the Management of Information Systems (R.C. “Athena”), Athens, Hellas,  

    Timos K. Sellis

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© 2006 Springer-Verlag Berlin Heidelberg

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Jaber, M.K., Voronkov, A. (2006). Implementation of UNIDOOR, a Deductive Object-Oriented Database System. In: Manolopoulos, Y., Pokorný, J., Sellis, T.K. (eds) Advances in Databases and Information Systems. ADBIS 2006. Lecture Notes in Computer Science, vol 4152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11827252_14

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  • DOI: https://doi.org/10.1007/11827252_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37899-0

  • Online ISBN: 978-3-540-37900-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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