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Title: Enterprise Intelligence based on Ontology Metadata
Authors: Guimarães, Francisco
Caldeira, Carlos
Quaresma, Paulo
Editors: Gallardo, María del Mar
Keywords: Business Model
Business Intelligence
Enterprise Architecture
Data Lineage
Ontology Learning
Knowledge Management
Issue Date: 2015
Abstract: Organizations define business models as part of its strategic thinking from which build performance evaluation structures focused on the effectiveness and efficiency of their goals. Usually the business model is captured in various organization representations with little interoperability between them. On the other hand, the performance are evaluated using business intelligence systems. Despite the usage of metadata in business intelligence and organization representation model system, metadata are normally not reused for the purpose of ensuring business concepts alignment. This article consolidates a vision of organizational metadata from various forms of representation of the business model, but implemented as ontology to support an organizational intelligence.
ISBN: 978-84-606-8792-4
Type: article
Appears in Collections:INF - Artigos em Livros de Actas/Proceedings

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