Abstract
Generalization operators have long been studied in the area of Conceptual Inductive Learning (Michalski, A theory and methodolgy of inductive learning. In: Machine learning: An artificial intelligence approach (pp. 111–161). TIOGA Publishing, 1983; De Raedt, About knowledge and inference in logical and relational learning. In: Advances in machine learning II (pp. 143–153). Springer, Berlin, 2010). We present an implementation of these learning operators in a prototype system for cooperative query answering. The implementation can however also be used as a usual concept learning mechanism for concepts described in first-order predicate logic. We sketch an extension of the generalization process by a ranking mechanism on answers for the case that some answers are not related to what user asked.
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References
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Bakhtyar, M., Dang, N., Inoue, K., Wiese, L. (2014). Implementing Inductive Concept Learning For Cooperative Query Answering. In: Spiliopoulou, M., Schmidt-Thieme, L., Janning, R. (eds) Data Analysis, Machine Learning and Knowledge Discovery. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-319-01595-8_14
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DOI: https://doi.org/10.1007/978-3-319-01595-8_14
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