Two main approaches to knowledge management (KM) have been followed by early adopters of the principle: the process-centred approach, that mainly treats KM as a social communication process; and the product-centred approach, that focuses on knowledge artefacts, their creation, storage and reuse in computer-based corporate memories. This distinction is evident not only in KM implementations in companies, but also in supporting methodologies and tools. This paper presents the Know-Net solution that aims to innovatively fuse the processcentred approach with the product-centred approach by developing a knowledge asset-centric design. The Know-Net solution includes a theoretical framework, a corporate transformation and measurement method and a software tool.
Abstract.With the increasing interest in environmental issues, the amount of publicly available environmental data on the Web is continuously growing. Despite its importance, the uptake of environmental information by the ordinary Web users is still very limited due to intransparent access to complex and distributed databases. As a remedy to this problem, in this work, we propose the use of semantic search technologies recently developed as an intuitive way to easily access structured data and lower the barriers to obtain information satisfying user information needs. Our proposed system, namely KOIOS, enables a simple, keyword-based search on structured environmental data and built on top of a commercial Environmental Information System (EIS). A prototype system successfully shows that applying semantic search techniques this way provides intuitive means for search and access to complex environmental information.
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