This chapter overviews the process of collection and automatic analysis of data and documents both inside and outside the Networked Enterprise. We will address the following research problems: discovery of the useful information sources, in terms of the enterprise documentation, of structured and unstructured data provided by existing information systems, of web-available knowledge, of event flow within the business processes; extraction of synthetic knowledge from these information sources, possibly in terms of a common, semantic data model; automatic interpretation and integration of the acquired information; analysis and dissemination of such knowledge to all decisional levels, appropriately adapting it to the user’s function and context.

Ontology-based Knowledge Elicitation: An Architecture

ORSI, GIORGIO;SBATTELLA, LICIA;TEDESCO, ROBERTO
2012-01-01

Abstract

This chapter overviews the process of collection and automatic analysis of data and documents both inside and outside the Networked Enterprise. We will address the following research problems: discovery of the useful information sources, in terms of the enterprise documentation, of structured and unstructured data provided by existing information systems, of web-available knowledge, of event flow within the business processes; extraction of synthetic knowledge from these information sources, possibly in terms of a common, semantic data model; automatic interpretation and integration of the acquired information; analysis and dissemination of such knowledge to all decisional levels, appropriately adapting it to the user’s function and context.
2012
Methodologies and Technologies for Networked Enterprises
9783642317385
INF
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/663456
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