Nowadays companies have taken the task of develop better management information systems in order to help the decision makers to exploit data and models, with the final objective of discussing and improving decision-making. Decision support systems must be improved in order to deal with the large amount of available data and the heterogeneity of existing modeling approaches along the enterprise structure. This book proposes the application of ontologies as a decision support tool, since they are increasingly seen as a key semantic technology for addressing heterogeneities and for enabling data mining by semantics-driven knowledge processing. As a decision support tool, it must be capable of standing as a robust model which interacts among the different decision hierarchical levels, providing a unified framework for data and information. The work presented represents a step forward toward integration among the enterprise hierarchical levels, standardization in processes and enterprises, as well as improved procedures for decision-making. The aforementioned achievements are boosted by the application of semantic models, which are currently increasingly used.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Nowadays companies have taken the task of develop better management information systems in order to help the decision makers to exploit data and models, with the final objective of discussing and improving decision-making. Decision support systems must be improved in order to deal with the large amount of available data and the heterogeneity of existing modeling approaches along the enterprise structure. This book proposes the application of ontologies as a decision support tool, since they are increasingly seen as a key semantic technology for addressing heterogeneities and for enabling data mining by semantics-driven knowledge processing. As a decision support tool, it must be capable of standing as a robust model which interacts among the different decision hierarchical levels, providing a unified framework for data and information. The work presented represents a step forward toward integration among the enterprise hierarchical levels, standardization in processes and enterprises, as well as improved procedures for decision-making. The aforementioned achievements are boosted by the application of semantic models, which are currently increasingly used.
Doctor of Philosophy in Chemical Process Engineering by Universitat Politecnica de Catalunya. His research aims at knowledge management by the development of ontologies for decision-making support in different areas. He is currently member of CIMAT from Mexico and collaborates with CEPIMA from Spain participating in different research projects.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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