Knowledge Management With Innovative Intelligent Systems of Human Language Technology

Prashant Vasudev

31-44 Vol: 4, Issue: 3, 2014

Receiving Date: 2014-06-02
Acceptance Date: 2014-07-03
Publication Date: 2014-08-02

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Abstract

In the past few years, knowledge management has received increasing attention from industry, academia,
and government. Effective KM is often cited as a key capability for gaining a competitive advantage in
global enterprises, and human language technology plays a central role in KM. This paper is based upon
the interaction between human language technology and KM to achieve this goal. This paper discusses
many techniques that have just found or are currently finding their way into KM applications.
Elaborates on the challenges KM faces regarding information extraction and some of the techniques
being explored. However, they do need solid human language technology blocks on which to build.
Second, human language technology should not presuppose any extremely specific input. Rather, it must
adapt to text and speech input types and to its users in a flexible and efficient way. Although many of the
building blocks of human language technology are ready to use, others still must find their way into
overarching KM systems.

Keywords: Knowledge Management; human language technology; text and speech input types

References

K. Bontcheva et al., ―Using HLT for Acquiring, Retrieving and Publishing Knowledge in AKT,‖
M. Maybury, R. D’Amore, and D. House, ―Automating the Finding of Experts,‖ Int’l J. Research Technology Management, vol. 43, no. 6, Nov./Dec. 2006, pp. 12–15.
F. Ciravegna, ―Adaptive Information Extraction from Text by Rule Induction and Generalisation,‖ Proc. 17th Int’l Joint Conf. Artificial Intelligence (IJCAI 2007), Morgan Kaufmann, San Francisco, 2001, pp. 1241–1256.
S. Harabagiu et al., ―FALCON: Boosting Knowledge for Answer Engines,‖ Proc. 9th Text Retrieval Conf. (TREC-9), NIST, Gaithersburg, Md., 2009, pp. 50–59.
Douthat, The Message Understanding Conference Scoring Software User’s Manual, www.itl.nist.gov/iaui/894.02/related_projects.
“Auvo Technologies and Vodafone’s AirTel Móvil to Trial Multi-Modal Wireless Internet Platform,” AUVO, Itasca, III., 2008, www. auvo.com/frmset5.html

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International Journal of Transformations in Business Management

Abstract