Abstract
Modular knowledge bases give their users opportunity to store and access knowledge at different levels of generality. In this paper we present how to organize a modular knowledge bases organized into contexts in which a user can express their knowledge in much simplified way, yet without losing its precision. The work is centered around the notion of approximation - i.e. reducing the arity of predicates used. The presentation is based on a case-study conducted with CongloS system within a large-scale national project.
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References
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Goczyła, K., Waloszek, A., Waloszek, W. (2014). Contextualizing a Knowledge Base by Approximation - A Case Study. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures, and Structures. BDAS 2014. Communications in Computer and Information Science, vol 424. Springer, Cham. https://doi.org/10.1007/978-3-319-06932-6_12
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DOI: https://doi.org/10.1007/978-3-319-06932-6_12
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