We present an approach for efficient semantic-based building-blocks selection in the context of ERPs fast customizing, introducing Enduring Oak, a framework that implements an optimized greedy concept covering algorithm, able to deal with thousands of building block descriptions with reasonable computational times. The proposed approach uses a Description Logics reasoning engine in conjunction with a RDBMS to reduce the computational burden. We motivate the approach, present the framework and algorithms and illustrate experiments confirming the validity of our setting
Efficient Automatic Selection of Semantically-Annotated Building Blocks for ERPs Customizing / Tinelli, E.; DI NOIA, Tommaso; DI SCIASCIO, Eugenio; Di Cugno, F.. - 4439:(2007), pp. 233-244. (Intervento presentato al convegno 10th International Conference on Business Information Systems, BIS 2007 tenutosi a Poznan nel 25th-28th April 2007).
Efficient Automatic Selection of Semantically-Annotated Building Blocks for ERPs Customizing
DI NOIA, Tommaso;DI SCIASCIO, Eugenio;
2007-01-01
Abstract
We present an approach for efficient semantic-based building-blocks selection in the context of ERPs fast customizing, introducing Enduring Oak, a framework that implements an optimized greedy concept covering algorithm, able to deal with thousands of building block descriptions with reasonable computational times. The proposed approach uses a Description Logics reasoning engine in conjunction with a RDBMS to reduce the computational burden. We motivate the approach, present the framework and algorithms and illustrate experiments confirming the validity of our settingI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
