Abstract
This work deals with the application of kernel methods to structured relational settings such as semantic knowledge bases expressed in Description Logics. Our method integrates a novel kernel function for the \(\mathcal{ALC}\) logic in a support vector machine that could be set up to work with these representations. In particular, we present experiments where our method is applied to the tasks of concept retrieval and query answering on existing ontologies.
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Fanizzi, N., d’Amato, C. (2007). Inductive Concept Retrieval and Query Answering with Semantic Knowledge Bases Through Kernel Methods. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74819-9_19
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DOI: https://doi.org/10.1007/978-3-540-74819-9_19
Publisher Name: Springer, Berlin, Heidelberg
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