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Introducing Context into RDF Knowledge Bases (2005) [5 citations — 4 self]

by Paolo Bouquet ,  Luciano Serafini ,  Heiko Stoermer
In Proceedings of SWAP 2005, the 2nd Italian Semantic Web Workshop
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Abstract:

Large-scale knowledge representation (KR) with RDF unveils shortcomings which become obvious when facts have to be further qualified with contextual aspects to represent anything else but simplistic binary predicates. Motivated by requirements in the VIKEF project, in which we are required to store a large amount of information extracted from a heterogeneous set of documents and encoded in RDF triples, we are proposing an architecture for modelling context in RDF knowledge bases. Our approach -- based on well-researched theories of context in KR -- avoids issues that other approaches face, by preserving standard RDF within a context and adding context semantics and relations between contexts around the standard. In this paper we will present our approach, including formal definitions of our extensions and an illustration of further works.

Citations

283 Notes on Formalizing Context – McCarthy - 1993
147 Local models semantics, or contextual reasoning = locality + compatibility – Giunchiglia, Ghidini - 1998
130 Prolegomena to a theory of mechanized formal reasoning – Weyhrauch - 1980
74 Generality in Artificial Intelligence – McCarthy - 1987
63 On the logic of demonstratives – Kaplan - 1979
44 Contextual reasoning distilled – Benerecetti, 1, et al.
31 Contexts for the Semantic Web – Guha, McCool, et al. - 2004
14 A Foundation for Metareasoning, Part I: The proof theory – Criscuolo, Giunchiglia, et al. - 2000
12 Indexical expressions – Bar-Hillel - 1954
7 A Foundation for Metareasoning, Part II: The model theory – Criscuolo, Giunchiglia, et al. - 2000
5 Contexts for RDF Information Modelling – Klyne - 2000
2 Circumstance, provenance and partial knowledge - Limiting the scope of RDF assertions – Klyne - 2002