International audienceKnowledge mining is a young and rapidly growing discipline aiming at automatically identifying valuable knowledge in digital documents. This paper presents the results of a study of the application of document retrieval and text mining techniques to extract knowledge from CIRP research papers. The target is to find out if and how such tools can help researchers to find relevant publications in a cluster of papers and increase the citation indices their own papers. Two different approaches to automatic topic identification are investigated. One is based on Latent Dirichlet Allocation of a huge document set, the other uses Wikipedia to discover significant words in papers. The study uses a combination of both approaches to propose a new approach to efficient and intelligent knowledge mining
Contributions of different experts to innovation projects improve enterprise value, captured in documents. A subset of them is the centre of expert constraint convergence. Their production needs to be tailored case by case. Documents are very often considered as knowledge transcription. As the base of a structured knowledge-based information environment, this paper presents a global approach that helps knowledgeintegration tool deployment. Two contrasting examples indicate how fundamental understanding of domain infrastructure contributes to a more coherent architecture of knowledge-based information environments. The first example is related to insurance services and uses roadmap and ontology to redefine a more coherent insurance contracting relation. The second example focuses on aircraft manufacturing and develops through diagram modelling, application specifications for process plan definition.
Knowledge management and innovation management are logically linked. However, the alignment of their respective deployment mechanisms is still not obvious. An analysis of the Innovation and Knowledge Life Cycles shows that the Knowledge Life Cycle can be deployed (partially) at each step of the Innovation Life Cycle. This implies that different, specific knowledge management tools could be used to increase innovation. Two knowledge management tools are considered in this paper: roadmaps and conceptual frameworks. A methodology is proposed for using roadmaps and conceptual frameworks within the context of integrated knowledge networks for improving efficient innovation. These two approaches aim to ease the knowledge structuring and identification in order to facilitate innovation. Two knowledge management examples in the financial services highlight how these tools contribute to the increased efficiency of the innovation process, leading to a more mature innovation deployment. KeywordsInnovation, Knowledge Integration, Knowledge Management, Roadmapping, Innovation Management, Conceptual Framework IntroductionInnovation is today widely recognised by both industry and academics as a necessity for any business that wants to remain competitive and survive and grow (Drucker, 1985; IBM's Global Innovation Outlook, 2005). Surveys such as the annual innovation survey from The Boston Consulting Group (2005) however, suggest that although the importance of innovation is fully realised by most companies and they continue to spend more and more on innovation, many do not seem to generate satisfactory profit or competitive advantage. The problem does not seem to lie in the invention part or the generation of innovative ideas, but more in the successful management of the innovation process from an idea to a successful product in the market (Kemp et al., 2003;Lööf et al., 2002). More and more researchers are emphasising the importance of knowledge management for supporting the efficient management of innovation (Johannessen et al., 1999; Pérez-Bustamante, 1999;Carneiro, 2000;Burgelman et al., 2001;Darroch et al., 2002;Lemon et al., 2004). The way in which knowledge is used, spread and stored by an organisation's employees determines whether this organisation has a culture stimulating or restraining innovation. Innovation in effect happens through the novel combination of existing internal and new external knowledge. In order to innovate effectively and sustainably, existing knowledge should therefore not only be captured, but also shared and integrated. By sharing best practices, inefficient redundancy in innovation is greatly reduced, whereas the integration of knowledge helps to exploit complementarities among knowledge assets and to achieve coordination. Actual practises of achieving this sharing and integration is however currently not well understood (Leiponen, 2006, Du Plessy, 2005. The purpose of this paper is to present the mutual enrichment of using on the one side conceptual framework to structure and clarif...
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