Abstract
This paper describes a decision-making support system focused on technologies, R&D agents, and R&D results. To deal with heterogeneous literatures and metadata, we introduce text mining and Semantic Web-based service platforms. InSciTe, a decision-making support system developed by us, provides a through process including analysis as well as ETL, verifies search and analysis results, connects its information with Semantic Web open sources in the level of RDF, and generates automatic summary reports. This system is significant in the sense that it has been implemented about a year earlier than similar projects such as CUBIST and FUSE.
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Jung, H., Lee, M., Kim, P., Sung, WK. (2011). Technology-Based Decision-Making Support System. In: Salvendy, G., Smith, M.J. (eds) Human Interface and the Management of Information. Interacting with Information. Human Interface 2011. Lecture Notes in Computer Science, vol 6772. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21669-5_31
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DOI: https://doi.org/10.1007/978-3-642-21669-5_31
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