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OWL^C: A Contextual Two-Dimensional Web Ontology Language

Authors Sahar Aljalbout, Didier Buchs, Gilles Falquet

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ACM Subject Classification
  • Computing methodologies → Artificial intelligence
Keywords
  • Contextual Reasoning
  • OWL^C
  • Contexts in digital humanities

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Abstract

Representing and reasoning on contexts is an open problem in the semantic web. Despite the fact that context representation has for a long time been treated locally by semantic web practitioners, a recognized and widely accepted consensus regarding the way of encoding and particularly reasoning on contextual knowledge has not yet been reached by far. In this paper, we present OWL^C : a contextual two-dimensional web ontology language. Using the first dimension, we can reason on contexts-dependent classes, properties, and axioms and using the second dimension, we can reason on knowledge about contexts which we consider formal objects, as proposed by McCarthy [McCarthy, 1987]. We demonstrate the modeling strength and reasoning capabilities of OWL^C with a practical scenario from the digital humanity domain. We chose the Ferdinand de Saussure [Joseph, 2012] use case in virtue of its inherent contextual nature, as well as its notable complexity which allows us to highlight many issues connected with contextual knowledge representation and reasoning.

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Sahar Aljalbout, Didier Buchs, and Gilles Falquet. OWL^C: A Contextual Two-Dimensional Web Ontology Language. In 2nd Conference on Language, Data and Knowledge (LDK 2019). Open Access Series in Informatics (OASIcs), Volume 70, pp. 2:1-2:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019) https://doi.org/10.4230/OASIcs.LDK.2019.2

Author Details

Sahar Aljalbout
  • University of Geneva, Switzerland
Didier Buchs
  • University of Geneva, Switzerland
Gilles Falquet
  • University of Geneva, Switzerland

Acknowledgements

We would like to thanks our Saussurian colleagues in particular dr. Guiseppe Cosenza for his collaboration on FDS knowledge acquisition.

References

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