Enhancing the Personal Knowledge Management with Semantic Desktop Technologies: SCAN approach

Enhancing the Personal Knowledge Management with Semantic Desktop Technologies: SCAN approach

Alexey V. Alishevskikh (ViceVersa Technologies, Russian Federation) and Tatiana V. Emshanova (ViceVersa Technologies, Russian Federation)
DOI: 10.4018/978-1-60960-126-3.ch006
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Abstract

This chapter introduces the general Semantic Desktop approach that has emerged last year as a researchers’ response to necessity of the effective comprehensive personal knowledge management solution. It describes the theoretical foundation and implementation of a supportive technology in the context of the SCAN (Smart Content Aggregation and Navigation) framework that integrates semantic content aggregation, search, natural language processing, metadata management and tagging. It is asserted that synthesis of different techniques will provide new, improved experience for knowledge workers based on intelligence of document management, increasing their productivity, which in turn will have a favourable effect on organizational business outcomes.
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Personal Knowledge Management

Following Drucker (1999), Amar (2002), Pauleen (2009) and many other researchers interested in “what is the knowledge work” and “how to help individuals to be more effective in personal, organizational and social environments”, one will agree that organizational knowledge management (OKM), crucially important in our knowledge society (Senge, 1994), would hardly be successful without providing a sufficient support to individual knowledge workers in their daily routines.

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