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Privacy preserving modules for ontologies

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2010) 5947 LNCS 380-387
DOI: 10.1007/978-3-642-11486-1_32
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Abstract

Data privacy is an important application of ontology modularization. The aim is to publish one module while keeping the information of another module private. We show how locality and partitioning - two basic concepts in the theory of modular ontologies - naturally lead to privacy preserving query answering over modular ontologies. © 2010 Springer Berlin Heidelberg.

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Studer, T. (2010). Privacy preserving modules for ontologies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5947 LNCS, pp. 380–387). https://doi.org/10.1007/978-3-642-11486-1_32

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