Ontology-based knowledge elicitation: An architecture

1Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.
Get full text

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 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free