2014
DOI: 10.1007/978-3-319-13704-9_8
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Information Flow within Relational Multi-context Systems

Abstract: Abstract. Multi-context systems (MCSs) are an important framework for heterogeneous combinations of systems within the Semantic Web. In this paper, we propose generic constructions to achieve specific forms of interaction in a principled way, and systematize some useful techniques to work with ontologies within an MCS. All these mechanisms are presented in the form of general-purpose design patterns. Their study also suggests new ways in which this framework can be further extended.

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Cited by 2 publications
(2 citation statements)
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“…In particular, the only element of ACC L (kb) may not be a model of kb in the classical sense of first-order logic. This is in contrast with [5], where ACC L (kb) contains all models of kb; as discussed in [13], this is essential to model e.g. default reasoning correctly.…”
Section: Description Logic Knowledge Basesmentioning
confidence: 91%
See 1 more Smart Citation
“…In particular, the only element of ACC L (kb) may not be a model of kb in the classical sense of first-order logic. This is in contrast with [5], where ACC L (kb) contains all models of kb; as discussed in [13], this is essential to model e.g. default reasoning correctly.…”
Section: Description Logic Knowledge Basesmentioning
confidence: 91%
“…For this reason, encoding ontologies as a context in an MCS is a bit different than the previous examples. We follow the approach from [13], refering the reader to the discussion therein of why the embeddding from e.g. [5] is not satisfactory.…”
Section: Description Logic Knowledge Basesmentioning
confidence: 99%