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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10016/6174
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| Title: | Shamash: an AI tool for modelling and optimizing business processes |
| Author(s): | Camacho, David
Aler, Ricardo
Borrajo, Daniel
Sierra Alonso, Almudena |
| Publisher: | IEEE |
| Issued date: | Nov-2001 |
| Citation: | 13th IEEE International Conference on Tools with Artificial Intelligence, 2001, p. 306-317 |
| URI: | http://hdl.handle.net/10016/6174 |
| ISBN: | 0-7695-1417-0 |
| DOI: | http://dx.doi.org/10.1109/ICTAI.2001.974478 |
| Description: | Proceeding of: IEEE 13th International Conference on Tools for Artificial Intelligence, 7-9 Nov. 2001 Dallas |
| Abstract: | In this paper we describe SHAMASH, a tool for modeling and automatically optimizing Business Processes. The main features that differentiate it from most current related tools are its ability to define and use organisation standards, and functional structure, and make automatic model simulations and optimisation of them. SHAMASH is a knowledge based system, and we include a discussion on how knowledge acquisition takes place. Furthermore, we introduce a high level description of the architecture, the conceptual model, and other important modules of the system. |
| Review: | PeerReviewed |
| Publisher version: | http://dx.doi.org/10.1109/ICTAI.2001.974478 |
| Keywords: | Artificial intelligence
Business data processing
Knowledge acquisition
Systems re-engineering |
| Rights: | © IEEE |
| Appears in Collections: | DI - GCERN - Capítulos de Monografías
DI - GCERN - Comunicaciones en Congresos y otros eventos
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