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Issues for an Ontology for Knowledge Valuation

Issues for an Ontology for Knowledge Valuation
Issues for an Ontology for Knowledge Valuation
This paper examines the application of inference-supporting ontologies to the issue of knowledge valuation. Knowledge, like customer goodwill or a brand, is an intangible asset for a firm; that is, a non-physical, non-financial claim to future wealth. Intangibles are notoriously difficult to value, but there are a number of reasons why we should try. A series of factors affecting the value of knowledge are discussed, and an ontology that could be used to express some of these is sketched. Such an ontology could be imported by e-business models, to help understand how an organisation?s knowledge adds value to its operations, and therefore to enable informed management of its knowledge assets.
O'Hara, Kieron
0a64a4b1-efb5-45d1-a4c2-77783f18f0c4
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
O'Hara, Kieron
0a64a4b1-efb5-45d1-a4c2-77783f18f0c4
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7

O'Hara, Kieron and Shadbolt, Nigel (2001) Issues for an Ontology for Knowledge Valuation At Proceedings of the IJCAI-01 Workshop on E-Business and the Intelligent Web.

Record type: Conference or Workshop Item (Other)

Abstract

This paper examines the application of inference-supporting ontologies to the issue of knowledge valuation. Knowledge, like customer goodwill or a brand, is an intangible asset for a firm; that is, a non-physical, non-financial claim to future wealth. Intangibles are notoriously difficult to value, but there are a number of reasons why we should try. A series of factors affecting the value of knowledge are discussed, and an ontology that could be used to express some of these is sketched. Such an ontology could be imported by e-business models, to help understand how an organisation?s knowledge adds value to its operations, and therefore to enable informed management of its knowledge assets.

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More information

Published date: August 2001
Additional Information: Web publication, at http://www.csd.abdn.ac.uk/ebiweb/papers/ohara.doc. Organisation: International Joint Conferences on Artificial Intelligence Inc and American Association for Artificial Intelligence Address: Seattle, USA
Venue - Dates: Proceedings of the IJCAI-01 Workshop on E-Business and the Intelligent Web, 2001-08-01
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 256553
URI: http://eprints.soton.ac.uk/id/eprint/256553
PURE UUID: 53b4bc3b-7230-464c-9aeb-83f4341cc746

Catalogue record

Date deposited: 02 May 2002
Last modified: 18 Jul 2017 09:45

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Contributors

Author: Kieron O'Hara
Author: Nigel Shadbolt

University divisions

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