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Ontology-Based Knowledge Elicitation: An Architecture

  • Marcello Montedoro
  • Giorgio Orsi
  • Licia Sbattella
  • Roberto Tedesco
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7200)

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.

Keywords

Domain Ontology Extraction Module Knowledge Extraction Lexical Database Network Enterprise 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Marcello Montedoro
    • 3
  • Giorgio Orsi
    • 4
    • 1
  • Licia Sbattella
    • 1
  • Roberto Tedesco
    • 2
  1. 1.Dipartimento di Elettronica e InformazionePolitecnico di MilanoMilanoItaly
  2. 2.MCPTPolitecnico di MilanoMilanoItaly
  3. 3.IBM Italia S.p.A.SegrateItaly
  4. 4.Department of Computer ScienceUniversity of OxfordOxfordUK

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