File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: High value information in engineering organisations

TitleHigh value information in engineering organisations
Authors
KeywordsBayesian Network
Information
Information evaluation
Value
Issue Date2008
Citation
International Journal of Information Management, 2008, v. 28, n. 4, p. 246-258 How to Cite?
AbstractThe management of information in engineering organisations is facing a particular challenge in the ever-increasing volume of information. It has been recognised that an effective methodology is required to evaluate information in order to avoid information overload and to retain the right information for reuse. By using, as a starting point, a number of the current tools and techniques which attempt to obtain 'the value' of information, it is proposed that an assessment or filter mechanism for information is needed to be developed. This paper addresses this issue firstly by briefly reviewing the information overload problem, the definition of value, and related research work on the value of information in various areas. Then a "characteristic" based framework of information evaluation is introduced using the key characteristics identified from related work as an example. A Bayesian Network diagram method is introduced to the framework to build the linkage between the characteristics and information value in order to quantitatively calculate the quality and value of information. The training and verification process for the model is then described using 60 real engineering documents as a sample. The model gives a reasonable accurate result and the differences between the model calculation and training judgements are summarised as the potential causes are discussed. Finally, several further issues including the challenge of the framework and the implementations of this evaluation assessment method are raised. © 2007 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/265541
ISSN
2023 Impact Factor: 20.1
2023 SCImago Journal Rankings: 5.775
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhao, Yuyang-
dc.contributor.authorTang, L. C.M.-
dc.contributor.authorDarlington, M. J.-
dc.contributor.authorAustin, S. A.-
dc.contributor.authorCulley, S. J.-
dc.date.accessioned2018-12-03T01:20:58Z-
dc.date.available2018-12-03T01:20:58Z-
dc.date.issued2008-
dc.identifier.citationInternational Journal of Information Management, 2008, v. 28, n. 4, p. 246-258-
dc.identifier.issn0268-4012-
dc.identifier.urihttp://hdl.handle.net/10722/265541-
dc.description.abstractThe management of information in engineering organisations is facing a particular challenge in the ever-increasing volume of information. It has been recognised that an effective methodology is required to evaluate information in order to avoid information overload and to retain the right information for reuse. By using, as a starting point, a number of the current tools and techniques which attempt to obtain 'the value' of information, it is proposed that an assessment or filter mechanism for information is needed to be developed. This paper addresses this issue firstly by briefly reviewing the information overload problem, the definition of value, and related research work on the value of information in various areas. Then a "characteristic" based framework of information evaluation is introduced using the key characteristics identified from related work as an example. A Bayesian Network diagram method is introduced to the framework to build the linkage between the characteristics and information value in order to quantitatively calculate the quality and value of information. The training and verification process for the model is then described using 60 real engineering documents as a sample. The model gives a reasonable accurate result and the differences between the model calculation and training judgements are summarised as the potential causes are discussed. Finally, several further issues including the challenge of the framework and the implementations of this evaluation assessment method are raised. © 2007 Elsevier Ltd. All rights reserved.-
dc.languageeng-
dc.relation.ispartofInternational Journal of Information Management-
dc.subjectBayesian Network-
dc.subjectInformation-
dc.subjectInformation evaluation-
dc.subjectValue-
dc.titleHigh value information in engineering organisations-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.ijinfomgt.2007.09.007-
dc.identifier.scopuseid_2-s2.0-44649173046-
dc.identifier.volume28-
dc.identifier.issue4-
dc.identifier.spage246-
dc.identifier.epage258-
dc.identifier.isiWOS:000257530900003-
dc.identifier.issnl0268-4012-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats