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Requirements for Information Extraction for Knowledge Management

Cimiano, Philipp; Ciravegna, Fabio; Domingue, John; Handschuh, Siegfried; Lavelli, Alberto; Staab, Steffen and Stevenson, Mark (2003). Requirements for Information Extraction for Knowledge Management. In: The Second International Conference on Knowledge Capture, K-Cap 2003, 23-25 Oct 2003, Sanibel Island, FL, USA.

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Knowledge Management (KM) systems inherently suffer from the knowledge acquisition bottleneck - the difficulty of modeling and formalizing knowledge relevant for specific domains. A potential solution to this problem is Information Extraction (IE) technology. However, IE was originally developed for database population and there is a mismatch between what is required to successfully perform KM and what current IE technology provides. In this paper we begin to address this issue by outlining requirements for IE based KM.

Item Type: Conference or Workshop Item
Copyright Holders: 2003 The Authors
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetEuropean Commission as part of the framework V [IST-2001- 34038]
Keywords: information extraction; knowledge management; ontologies; annotation
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 23251
Depositing User: Kay Dave
Date Deposited: 17 Jun 2011 14:38
Last Modified: 01 May 2019 23:28
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