Extensible markup language and knowledge management

Otto, James; Cook, Jerry L.; Chung, Q. B.

doi:10.1108/13673270110401248

Cited by 2 publications

(1 citation statement)

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“…The slight difference is in the application of knowledge management initiatives which stresses information technology as a key enabler. Knowledge management initiatives have traditionally placed much emphasis on information technology (Davenport and Klahr, 1998;McDermott, 1999;Otto et al, 2001;Scheel, 2002;Stewart, 2002). Some of the popular categories of knowledge management technology employed in organisations include document management systems, expert location systems, and enterprise portals (Benbya et al, 2004;Chua, 2004;Marwick, 2001).…”

Section: Organisational Learning and Knowledge Managementmentioning

confidence: 99%

Organisational Learning: Conceptual Links to Individual Learning, Learning Organisation and Knowledge Management

Hoe

2007

J. Info. Know. Mgmt.

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Organisational learning has over the years been subject of much study by scholars and managers. In the process, the organisational learning concept has been linked to many other knowledge concepts such as individual learning, learning organisation, and knowledge management. This paper draws from existing literature in organisational behaviour, human resource management, marketing, and information management, to further develop the conceptual links between organisational learning and these knowledge concepts. The paper discusses the characteristics of organisational learning and emphasises its link to individual learning, the learning organisation, and knowledge management. It contributes to the conceptual and theoretical understanding of organisational learning and its relationship to these knowledge concepts from a multidisciplinary perspective.

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Section: Organisational Learning and Knowledge Managementmentioning

confidence: 99%

Organisational Learning: Conceptual Links to Individual Learning, Learning Organisation and Knowledge Management

Hoe

2007

J. Info. Know. Mgmt.

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XML Parsing on Multicore Processors and Data Representation in . NET Tree Control

Kaur¹,

Sohal²

2014

IJCA

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The purpose of this research is to optimize the parsing process of the XML files. There are several ways to parse the XML files. But to comply with the advanced multicore CPUs and their fast performance the XML parsing logics need to be refined and optimized with parallel processing approach. The parallel XML parsing is a step towards this approach. It makes the reading of XML data faster because parser runs on more engines to extract the data. There are several advantages of parallel XML parsing like fast execution, high throughput, time saving, proper CPU utilization and load balancing. To perform the parsing processes simultaneously, the XML files need to be split in small uniform portions. Now it will execute the parsing logic on multiple threads on each CPU's core to parse the each portion of XML file without interfering with each others. In other words, an each segment will be an input to the parser running on different threads on different CPU cores. To enhance the system performance the multicore processors based devices have been introduced. Such system's processing is much faster than conventional sequential processing systems especially when it does repetitive calculations on vast amounts of data. This technique becomes more important when a candidate system or development application is model based application which operates on the XML files. This approach plays a significant role to enhance the application's capability to process large amount of data, improve application performances by providing quick results and eventually expeditious the application processing and dependent operations.

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Extensible markup language and knowledge management

Cited by 2 publications

References 16 publications

Organisational Learning: Conceptual Links to Individual Learning, Learning Organisation and Knowledge Management

Organisational Learning: Conceptual Links to Individual Learning, Learning Organisation and Knowledge Management

XML Parsing on Multicore Processors and Data Representation in . NET Tree Control

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