Using HLT for acquiring, retrieving and publishing knowledge in AKT: position paper

Authors:
K. Bontcheva;C. Brewster;F. Ciravegna;H. Cunningham;L. Guthrie;R. Gaizauskas;Y. Wilks
Affiliations:
The University of Sheffield, Regent Court, Sheffield, UK;The University of Sheffield, Regent Court, Sheffield, UK;The University of Sheffield, Regent Court, Sheffield, UK;The University of Sheffield, Regent Court, Sheffield, UK;The University of Sheffield, Regent Court, Sheffield, UK;The University of Sheffield, Regent Court, Sheffield, UK;The University of Sheffield, Regent Court, Sheffield, UK
Venue:
HLTKM '01 Proceedings of the workshop on Human Language Technology and Knowledge Management - Volume 2001
Year:
2001

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Abstract

AKT is a major research project applying a variety of technologies to knowledge management. Knowledge is a dynamic, ubiquitous resource, which is to be found equally in an expert's head, under terabytes of data, or explicitly stated in manuals. AKT will extend knowledge management technologies to exploit the potential of the semantic web, covering the use of knowledge over its entire lifecycle, from acquisition to maintenance and deletion. In this paper we discuss how HLT will be used in AKT and how the use of HLT will affect different areas of KM, such as knowledge acquisition, retrieval and publishing.