Better knowledge management through knowledge engineering

Preece, Alun; Flett, Alan; Sleeman, Derek; Curry, David; Meany, Nigel; Perry, P.B.

doi:10.1109/5254.912383

Cited by 74 publications

(24 citation statements)

References 7 publications

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“…This consists of explicit knowledge in a document format [2], [3], [22], [25] knowledge storage is the knowledge collected by a worker group whose language represents the knowledge to be stored. Knowledge can be classified in a database system [3], [23], [25], [26] knowledge utilization is the use of knowledge through a web browser related to cloud computing. Only members can use the knowledge base system within the knowledge server [2], [3], [22], [23], [25].…”

Section: Methodsmentioning

confidence: 99%

“…Knowledge can be classified in a database system [3], [23], [25], [26] knowledge utilization is the use of knowledge through a web browser related to cloud computing. Only members can use the knowledge base system within the knowledge server [2], [3], [22], [23], [25].…”

Section: Methodsmentioning

confidence: 99%

“…Knowledge engineering is the acquisition, structuring and refinement of knowledge, including knowledge analysis, knowledge formalization and knowledge reasoning [22]. Knowledge engineering consists of tools, techniques and processes that correspond to the knowledge system [23]. In addition, one of the advantages of knowledge management system application is knowledge manipulation, in which new knowledge can be generated from this knowledge management system by deploying knowledge engineering and a knowledge base [24].…”

Section: Knowledge Engineeringmentioning

confidence: 99%

See 2 more Smart Citations

A Framework for a Knowledge Management System in a Cloud Computing Environment Using a Knowledge Engineering Approach

Anupan¹,

Nilsook²,

Wannapiroon³

2015

IJKE

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Abstract-This study aims to design a framework for a knowledge management system in a cloud computing environment using a knowledge engineering approach. The research comprised 2 steps: 1) analyzing and synthesizing the relevant literature with regard to knowledge management systems in a cloud computing environment using a knowledge engineering approach and 2) designing a framework for a knowledge management system in a cloud computing environment using a knowledge engineering approach. Data were analyzed using content analysis. A knowledge management system consists of four components as follows: 1) knowledge retrieval 2) knowledge storage 3) knowledge sharing and 4) knowledge publishing. The knowledge engineering approach consists of three components as follows: 1) knowledge acquisition 2) knowledge storage and 3) knowledge utilization.Index Terms-Knowledge management system, cloud computing environment, knowledge engineering.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Knowledge Engineeringmentioning

confidence: 99%

See 1 more Smart Citation

A Framework for a Knowledge Management System in a Cloud Computing Environment Using a Knowledge Engineering Approach

Anupan¹,

Nilsook²,

Wannapiroon³

2015

IJKE

View full text Add to dashboard Cite

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“…The procedures to execute this process have been embodied in the following practices (Preece et al, 2001): * Document management systems to allow workers to find existing documents relevant to tasks at hand These practices have been presented as a very loose conceptual framework, generally supported by cases and success stories.…”

Section: What Is Knowledge?mentioning

confidence: 99%

Issues on knowledge coordination

Silva

Agustí-Cullel

2003

Knowl Process Manag

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In the present work we argue that coordination is a key factor for managing knowledge within organisations. Given the classification of organizational principles suggested by C. I. Barnard in the 1930s, based on the proposition that persons in an organization should be regarded either as 'objects to be manipulated' or as 'subjects to be satisfied' (we identify these principles respectively as structure-centric and people-centric organizational principles), we show how this classification encompasses every management model proposed from Taylor's Scientitic Administration to the most recent ones. We also show how the same principles have been rediscovered recently within the context of knowledge management. Although structurecentric organizational principles have been regarded as outdated in many situations nowadays, they have received more attention from information technology researchers than people-centric ones. We analyse this fact from a conceptual viewpoint, identifying the potentialities and advantages of each of these principles, as well as their pitfalls and restrictions. The main conceptual tool for structure-centric knowledge management are artificial ontologies. Since we have not identified any predominant tool to pair up with artificial ontologies on the side of peoplecentric knowledge management, we propose one such tool, which we believe that can be the main contribution of the present work. The conceptual tool we propose is called structures of capability providers, for reasons that will become clear when it is presented. The article aims at providing an encompassing view of knowledge coordination, based on the principles above. We are particularly careful to show that much of what has been discussed and used today for knowledge management has been around for at least 60 years.

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“…The development of Artificial Intelligence (AI), especially the development of Agent technology, provides favorable technical preparation for computer-aided knowledge processing [2].…”

Section: Introductionmentioning

confidence: 99%

Knowledge Portal Construction and Resources Integration for Hydropower Corporation

Wang

Liu

You

IFIP International Federation for Information Processing

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Abstract. Based on the scientific and technical research project "Data Collection and Decision Support System for Hydropower Dam Construction", which is set up by the Chinese National Development and Reform Commission, this paper, which aims to solve the problems in managing the construction of large-scale hydropower project, focuses on the knowledge portal using Web Services and J2EE.After studying China Gezhouba (Group) Corporation (CGGC), which is building the largest hydropower project of the world, Three Gorges Project, a multi-layer architecture and a supporting system for the knowledge portal is put forward. The method for integrating existing resources is also proposed. Enterprise application integration (EAI), which is platform-free and improving the interoperability of heterogeneous system, is realized by interoperability in distributed environment, software combination technology, heterogeneous system integration, and application mid-ware specification. All the resources are in the open and unified environment and are easy to share. The process of designing and developing knowledge portal for CGGC Operation Management System is further provided to illustrate the architecture proposed above.

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Better knowledge management through knowledge engineering

Cited by 74 publications

References 7 publications

A Framework for a Knowledge Management System in a Cloud Computing Environment Using a Knowledge Engineering Approach

A Framework for a Knowledge Management System in a Cloud Computing Environment Using a Knowledge Engineering Approach

Issues on knowledge coordination

Knowledge Portal Construction and Resources Integration for Hydropower Corporation

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