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 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Montedoro, M., Orsi, G., Sbattella, L., & Tedesco, R. (2012). Ontology-based knowledge elicitation: An architecture. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://doi.org/10.1007/978-3-642-31739-2_9
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