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Linked data and semantic web technologies to model context information for policy-making

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Abstract

Currently, several datasets released in a Linked Open Data format are available at a national and international level, but the lack of shared strategies on the representation and meaning of knowledge related to the publishing community makes it difficult to compare and use them. The paper proposes the use of semantic technologies and linked open data in order to ensure standardized frameworks for the representation of concepts in policy-making. The low-level data can thus be transformed into an enriched information model that allows its reuse and a logical reasoning on the knowledge representation.

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Acknowledgements

The author would like to thank Nicola Giancecchi for the implementation and publication of the RDFS and OWL ontologies described in https://nicorsm.github.io/cgg-ontology/.

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  1. Department of Computer Science and Engineering, University of Bologna, Bologna, Italy

    Antonella Carbonaro

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  1. Antonella Carbonaro
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Correspondence to Antonella Carbonaro.

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Carbonaro, A. Linked data and semantic web technologies to model context information for policy-making. J Ambient Intell Human Comput 12, 4395–4406 (2021). https://doi.org/10.1007/s12652-019-01341-y

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