Automated Building Blocks Selection based on Business Processes Semantics in ERPs
Authors
Di Noia Tommaso, Di Sciascio Eugenio, Donini Francesco M., Tinelli Eufemia, di Cugno Francesco, Ragone AzzurraAbstract
We present a novel approach and a system for automated selection of building blocks, by exploiting business processes semantics. The selection process is based on a novel greedy concept covering algorithm, which computes, given a description of the request, the set of needed building blocks. If such a set does not exist the algorithm returns the covered subset and explanation information on both the left-uncovered part and conflicting part of the request description, exploiting non-standard inference services. The requested description can be expressed as conjunction of mandatory requirements and preferences. In order to efficiently cope with large datasets a further enhancement is proposed, exploiting pre-classification techniques using a Description Logics reasoning engine in conjunction with a RDBMS to reduce the computational burden. The approach has been deployed in a system specifically designed for SAP R/3 best practices reusability, which is fully functional and is currently being evaluated in an industrial setting.
DOI
https://doi.org/10.1007/s11761-007-0014-zBibTex references
@Article{DDDTDR07,
author = "Di Noia, Tommaso and Di Sciascio, Eugenio and Donini, Francesco M. and Tinelli, Eufemia and di Cugno, Francesco and Ragone, Azzurra",
title = "Automated Building Blocks Selection based on Business Processes Semantics in ERPs",
journal = "Service Oriented Computing and Applications (SOCA Journal)",
number = "3",
volume = "1",
pages = "171--184",
year = "2007",
url = "http://sisinflab.poliba.it/Publications/2007/DDDTDR07"
}