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Representing Contextual Information as Fluents

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10180))

Abstract

Annotating semantic data with metadata is becoming more and more important to provide information about the statements. While there are solutions to represent temporal information about a statement, a general annotation framework which allows representing more contextual information is needed. In this paper, we extend the 4dFluents ontology by Welty and Fikes to any dimension of context.

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Notes

  1. 1.

    http://www.w3.org/TR/2014/REC-rdf11-mt-20140225/#reification.

  2. 2.

    https://www.w3.org/TR/swbp-n-aryRelations.

  3. 3.

    https://www.w3.org/TR/n-quads.

References

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  2. Giménez-García, J.M., Zimmermann, A., Maret, P.: NdFluents: A Multi-dimensional Contexts Ontology. Univ. Jean Monnet, Technical report (2016)

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  3. Hernández, D., Hogan, A., Krötzsch, M.: Reifying RDF: what works well with wikidata? In: Proceedings of the 11th International Workshop on Scalable Semantic Web Knowledge Base Systems, pp. 32–47 (2015)

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Acknowledgments

This project is supported by funding received from the European Union Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 642795.

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Correspondence to José M. Giménez-García .

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Giménez-García, J.M., Zimmermann, A., Maret, P. (2017). Representing Contextual Information as Fluents. In: Ciancarini, P., et al. Knowledge Engineering and Knowledge Management. EKAW 2016. Lecture Notes in Computer Science(), vol 10180. Springer, Cham. https://doi.org/10.1007/978-3-319-58694-6_13

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  • DOI: https://doi.org/10.1007/978-3-319-58694-6_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58693-9

  • Online ISBN: 978-3-319-58694-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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