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Return to Demonstrations The Lambda-DB project at the University of Texas at Arlington aims at developing frameworks and prototype systems that address the new query optimization challenges for object-oriented and object-relational databases, such as query nesting, multiple collection types, methods, and arbitrary nesting of collections. We have already developed a theoretical framework for query optimiztion based on an effective calculus, called the monoid comprehension calculus[4]. The system reported here is a fully operational ODMG 2.0 [2] OODB management system, based on this framework. Note: References link to DBLP on the Web.
@inproceedings{DBLP:conf/sigmod/FegarasSRM00, author = {Leonidas Fegaras and Chandrasekhar Srinivasan and Arvind Rajendran and David Maier}, editor = {Weidong Chen and Jeffrey F. Naughton and Philip A. Bernstein}, title = {lambda-DB: An ODMG-Based Object-Oriented DBMS}, booktitle = {Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, May 16-18, 2000, Dallas, Texas, USA}, journal = {SIGMOD Record}, publisher = {ACM}, volume = {29}, number = {2}, year = {2000}, isbn = {1-58113-218-2}, pages = {583}, crossref = {DBLP:conf/sigmod/2000}, bibsource = {DBLP, http://dblp.uni-trier.de} } }, DiSC'01 Copyright ©2002 ACM Inc. |