Abstract
There are information mining methodologies that emphasize the importance of planning for requirements elicitation along the entire project in an orderly, documented, consistent and traceable manner. However, given the characteristics of this type of project, the approach proposed by the classical requirements engineering is not applicable to the process of identifying the problem of information mining, nor allows to infer from the business domain modelling, the information mining process which solves it. This paper proposes an extension of semantic nets and frames to represent knowledge of the business domain, business problem and problem of information mining; and a methodology to derive the information mining process from the proposed knowledge representations is introduced.
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Martins, S., Rodríguez, D., García-Martínez, R. (2014). Deriving Processes of Information Mining Based on Semantic Nets and Frames. In: Ali, M., Pan, JS., Chen, SM., Horng, MF. (eds) Modern Advances in Applied Intelligence. IEA/AIE 2014. Lecture Notes in Computer Science(), vol 8482. Springer, Cham. https://doi.org/10.1007/978-3-319-07467-2_16
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DOI: https://doi.org/10.1007/978-3-319-07467-2_16
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