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Semantic IoT: Theory and Applications pp 193–206Cite as

Discovering Critical Factors Affecting RDF Stores Success

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 941))

Abstract

Technologies for the effective and efficient handling of RDF data are one of the main success factors for a larger scale take-up of Semantic Web Technologies in real scenarios. In this regard, several software components (RDF Stores) devoted to the semantic data persistence and retrieval are available in literature. However, each of them may be appropriate and usable for some kinds of tasks and not for others, and a one-size-fits-all killer application for this type of solutions is still not (and probably will never be) available. The large number of available solutions and the lack of widely accepted benchmarks for their rigorous evaluation do not help the selection and the adoption of an appropriate RDF store compliant with the identified needs of a specific case study. In order to contribute to fill this gap, a methodological approach to evaluate and rank the relevant features of the RDF stores is presented in this paper. Such an approach can help on one hand other researchers to discover the factors affecting the success of the RDF stores and the other hand software architects to select which RDF stores best fits the requirements of a certain application scenario.

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Acknowledgements

The present paper has been developed within CasAware project, approved by Lombardy region (id 147152) within the Call “Bando Linea RS per aggregazioni”.

Author information

Authors and Affiliations

  1. Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy, via Lembo 38F, Bari, Italy

    Gianfranco E. Modoni

  2. Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy, via Previati 1/E, Lecco, Italy

    Marco Sacco

Authors
  1. Gianfranco E. Modoni
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  2. Marco Sacco
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Corresponding author

Correspondence to Gianfranco E. Modoni .

Editor information

Editors and Affiliations

  1. Amity Institute of Information Technology, Amity University Uttar Pradesh Lucknow Campus, Lucknow, Uttar Pradesh, India

    Rajiv Pandey

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Marcin Paprzycki

  3. Amity Institute of Information Technology, Amity University Uttar Pradesh Lucknow Campus, Lucknow, Uttar Pradesh, India

    Nidhi Srivastava

  4. Database System Laboratory, University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Subhash Bhalla

  5. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Katarzyna Wasielewska-Michniewska

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Modoni, G.E., Sacco, M. (2021). Discovering Critical Factors Affecting RDF Stores Success. In: Pandey, R., Paprzycki, M., Srivastava, N., Bhalla, S., Wasielewska-Michniewska, K. (eds) Semantic IoT: Theory and Applications. Studies in Computational Intelligence, vol 941. Springer, Cham. https://doi.org/10.1007/978-3-030-64619-6_8

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