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Italian Research Conference on Digital Libraries

IRCDL 2020: Digital Libraries: The Era of Big Data and Data Science pp 75–81Cite as

A Streamlined Pipeline to Enable the Semantic Exploration of a Bookstore

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1177))

Abstract

Searching in a library or book catalog is a recurrent task for researchers and common users alike. Thanks to semantic enrichment techniques, such as named-entity recognition and linking, texts may be automatically associated with entities in some reference knowledge graph(s). The association of a corpus of texts with a knowledge graph opens up the way to searching/exploring using novel paradigms. We present a pipeline that uses semantic enrichment and knowledge graph visualization techniques to enable the semantic exploration of an existing text corpus. The pipeline is meant to be ready for use and consists of existing free software tools and free software code contributed by us. We are developing and testing the pipeline on the field, by using it to access the catalog of a bookstore specialized in ancient Rome history.

This work is partly supported by the project ARCA (POR FESR Lazio 2014–2020 - Avviso pubblico “Creatività 2020”, domanda prot. n. A0128-2017-17189) and by the Centro di Eccellenza DTC Lazio through the project EcoDigit.

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Notes

  1. 1.

    https://stanbol.apache.org/.

  2. 2.

    http://purl.org/dc/elements/1.1/.

  3. 3.

    http://schema.org/.

  4. 4.

    An extension of SPARQL designed to map JSON or XML content to RDF.

  5. 5.

    http://www.w3.org/ns/oa.

  6. 6.

    https://www.blazegraph.com/.

  7. 7.

    https://duraspace.org/fedora/.

  8. 8.

    https://github.com/sparql-generate/sparql-generate.

  9. 9.

    https://reactjs.org/.

  10. 10.

    https://www.ontodia.org/.

  11. 11.

    https://www.abbyy.com/en-eu/finereader/.

  12. 12.

    https://dandelion.eu/.

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Authors and Affiliations

  1. Sapienza Università di Roma, Rome, Italy

    Miguel Ceriani, Eleonora Bernasconi & Massimo Mecella

Authors
  1. Miguel Ceriani
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  2. Eleonora Bernasconi
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  3. Massimo Mecella
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Corresponding authors

Correspondence to Miguel Ceriani , Eleonora Bernasconi or Massimo Mecella .

Editor information

Editors and Affiliations

  1. University of Bari, Bari, Italy

    Michelangelo Ceci

  2. University of Bari, Bari, Italy

    Stefano Ferilli

  3. Sapienza University of Rome, Rome, Italy

    Antonella Poggi

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Ceriani, M., Bernasconi, E., Mecella, M. (2020). A Streamlined Pipeline to Enable the Semantic Exploration of a Bookstore. In: Ceci, M., Ferilli, S., Poggi, A. (eds) Digital Libraries: The Era of Big Data and Data Science. IRCDL 2020. Communications in Computer and Information Science, vol 1177. Springer, Cham. https://doi.org/10.1007/978-3-030-39905-4_8

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  • DOI: https://doi.org/10.1007/978-3-030-39905-4_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39904-7

  • Online ISBN: 978-3-030-39905-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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