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Knowledge management and human language: crossing the chasm

Hamish Cunningham (Researcher in language and knowledge technologies for around 15 years, and currently runs a research team as part of the Natural Language Processing group in Computer Science at the University of Sheffield.)
Kalina Bontcheva (PhD on the topic of adaptive hypertext generation from the University of Sheffield in 2001.)
Yaoyong Li (Research Fellow at the University of Sheffield and received his PhD on the topic of neural networks for pattern recognition from the Xi'an Jiaotong University in China in 1998.)

Journal of Knowledge Management

ISSN: 1367-3270

Article publication date: 1 October 2005

2597

Abstract

Purpose

Seeks to explore the gap that exists between knowledge management (KM) systems and the natural language materials that form almost all corporate data stores.

Design/methodology/approach

A conceptual discussion and approach are taken using recent scientific results in the fields of the semantic web and ontology‐based information extraction.

Findings

Provides a high‐level introduction to information extraction (IE) and descriptions of application scenarios for KM tools that exploit IE, a form of natural language analysis to link semantic web models with documents. The paper presents some examples of ontology‐based IE systems, one of which, KIM, is under development in the SEKT Project. KIM offers IE‐based facilities for metadata creation, storage and conceptual search. The system can be used by diverse applications for annotating and querying documents.

Originality/value

Focuses on technologies and facilities that will become an important part of next‐generation KM applications.

Keywords

Citation

Cunningham, H., Bontcheva, K. and Li, Y. (2005), "Knowledge management and human language: crossing the chasm", Journal of Knowledge Management, Vol. 9 No. 5, pp. 108-131. https://doi.org/10.1108/13673270510622492

Publisher

:

Emerald Group Publishing Limited

Copyright © 2005, Emerald Group Publishing Limited

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