Change search
ReferencesLink to record
Permanent link

Direct link
Pattern-based Knowledge Architecture for Information Logistics
Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering.
2015 (English)In: Revista Investigacion Operacional, ISSN 0257-4306, Vol. 36, no 1, 36-44 p.Article in journal (Refereed) PublishedText
Abstract [en]

Accurate and readily available information is a crucial basis for decision making, problem solving, or performing knowledge-intensive work. In networked organizations with geographically distributed work force and processes, like logistics networks or SME-clusters, quickly finding the right information for a given purpose often is a challenge. An improved information supply would contribute significantly to saving time and most likely to improving productivity. The paper aims at contributing to improved information logistics by bringing together experiences from knowledge modeling and pattern-based reuse in information system development. We propose a pattern-based knowledge architecture with several inter-working layers of services for implementing information logistics in networked organizations. The knowledge architecture forms a framework for selecting and configuring suitable resources for a given problem situation. The knowledge architecture principle and three types of knowledge patterns within the architecture framework are discussed: task patterns for representing enterprise knowledge of member organizations in a networked organization, information demand patterns addressing the information demand of typical roles in a networked organization, and ontology design patterns for capturing context information for decision support.

Place, publisher, year, edition, pages
2015. Vol. 36, no 1, 36-44 p.
Keyword [en]
Information Logistics, Knowledge Architecture, Knowledge Pattern
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:hj:diva-28625ScopusID: 2-s2.0-84920618902OAI: diva2:881894
Available from: 2015-12-11 Created: 2015-12-11 Last updated: 2016-01-18Bibliographically approved

Open Access in DiVA

fulltext(636 kB)21 downloads
File information
File name FULLTEXT01.pdfFile size 636 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links


Search in DiVA

By author/editor
Sandkuhl, Kurt
By organisation
JTH, Computer and Electrical EngineeringJTH. Research area Information Engineering
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 21 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 138 hits
ReferencesLink to record
Permanent link

Direct link