Explicit Modeling of the Semantics of Large Multi-layered Object-Oriented Databases
Description-driven systems based on meta-objects are an increasingly popular way to handle complexity in large-scale object- oriented database applications. Such systems facilitate the management of large amounts of data and provide a means to avoid database schema evolution in many settings. Unfortunately, the description-driven approach leads to a loss of simplicity of the schema, and additional software behaviour is required for the management of dependencies, description relationships, and other Design Patterns that recur across the schema. This leads to redundant implementations of software that cannot be handled by using a framework-based approach. This paper presents an approach to address this problem which is based on the concept of an ontology of Design Patterns. Such an ontology allows the convenient separation of the structure and the semantics of database schemata. Through that, reusable software can be produced which separates application behaviour from the database schema.
KeywordsDesign Pattern Software Component Compact Muon Solenoid Class Diagram Semantic Modeling
Unable to display preview. Download preview PDF.
- 2.Bazan, A. et al., “The Use of Production Management Techniques in the Construction of Large Scale Physics Detectors”. In Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference, Toronto, Canada. November 1998.Google Scholar
- 3.Blaha, M., and Premerlani, W., Object-Oriented Modeling and Design for Database Applications. Prentice Hall Publishers, 1998.Google Scholar
- 4.Brachman, R.J., and Schmolze, J.G. “An Overview of the KL-ONE Knowledge Representation System”. Cognitive Science 9(2), 1985.Google Scholar
- 6.CMS Collaboration, “CMS Technical Proposal”. January 1995. Available from ftp://cmsdoc.cern.ch/TPref/TP.html
- 7.Gamma, E., Helm, R., Johnson, R., and Vlissides, J., Design Patterns-Elements of Reusable Object-Oriented Software. Addison-Wesley Longman Publishers, 1995.Google Scholar
- 8.Huhns, M., and Singh, M. 1997. “Ontologies for Agents”. In IEEE Internet Computing November-December 1997, pp. 81–83.Google Scholar
- 9.Kovacs, Z., “The Integration of Product Data with Workflow Management Systems through a Common Data Model”. PhD thesis, Univ. of the West of England, 1999.Google Scholar
- 10.Laddaga, R., and Veitch, J. (ed.), “Dynamic Object Technology”, Communications of the ACM 40(5):37–69, May 1997.Google Scholar
- 11.McClatchey, R. et al., “The Role of Meta-Objects and Self-Description in an Engineering Data Warehouse”. Proc. 3rd IEEE Int’l Database Engineering & Applications Symposium (IDEAS’99), pp. 342–350. Montreal, Canada. August 1999.Google Scholar
- 12.ODMG. The Object Database Standard: ODMG 2.0. Morgan Kaufmann, 1997.Google Scholar