Prospecção Tecnológica e Identificação de Especialistas Através da Mineração de Dados da Produção Científica
Autores
4718 |
549,10,2090
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4719 |
549,10,2090
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4720 |
549,10,2090
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Informações:
Publicações do PESC
Constant scientific development and hard economic competition sign the actual scenario. The advancement in the technological development ensures competitive advantage through new products introduced in the market and improvements in the existing processes. This work proposes an approach to perform technological forecast and identification of experts from publications, thesis and patents. A software named KAIROS was developed for mining the data to infer knowledge areas associated to each scientific production in the web. As a result, the behaviour of scientific areas may be seen over time, the way as they relationship themselves may be known and the promising areas may be identified. Expert or visionary researchers and institutions are identified in a domain by a set of proposed heuristics. Case studies were conducted in a Computational domain in order to validate the proposed approach. Satisfactory results were achieved in these studie