Applying semantic web into technology forecasting in enterprises

Abstract

When massive information is available for technology forecasting activities in WWW and other internet services, the smart technology forecasting supported by text-mining and other information technologies becomes one of the new approaches of technology forecasting. However, it is difficult to avoid the problems of confusion of information, disguise, and invalidation of correlation weighing when current text mining techniques based on keyword search are employed to conduct technology forecasting. In this paper, we present a three-layer model of smart technology forecasting based on text mining consisting of the collection layer, the analysis layer and the representation layer. Furthermore, by adapting current model to a new framework, we propose a semantic-web-based technology forecasting approach. Results show that the semantic-web-based framework is an appropriate and potential smart technology forecasting approach.