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An Ontology and Knowledge Graph Infrastructure for Digital Library Knowledge Representation

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Digital Libraries: The Era of Big Data and Data Science (IRCDL 2020)

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

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Abstract

New technologies for storing and handling knowledge provide unprecedented opportunities for enhanced fruition of digital libraries and archives. Going beyond document retrieval based on lexical content or metadata, using the context of documents, and/or of their content, may provide very new ways to put them in perspective and grasp a deeper understanding thereof, also for non-technical users.

Several components are needed to support this new perspective: suitable ontological resources to describe such variated knowledge, collaborative tools to collect the precious knowledge scattered across many scholars and practitioners spread all over the world, and to store it in a knowledge base, fruition tools to make the collected knowledge available to all interested stakeholders (scholars, researchers, but also common people).

This paper proposes the GraphBRAIN environment as a possible infrastructure. It is a general-purpose tool that allows its users to design and populate knowledge graphs, to collaboratively enrich them, and to exploit advanced fruition tools, consultation and analysis tools. Its functionality may also be provided as a set of Web services to end-user applications. An initial version of the ontology and knowledge graph for digital libraries and archives are also presented and discussed in the paper.

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Notes

  1. 1.

    https://protege.stanford.edu.

  2. 2.

    http://owlcs.github.io/owlapi.

  3. 3.

    A demo of the system can be found at http://193.204.187.73:8088/GraphBRAIN/.

  4. 4.

    http://www.w3c.org/owl.

  5. 5.

    Due to the pervasive use of documents in our lives, most elements in this ontology might be regarded as belonging to the general ontology. However, because of its specific focus, this ontology provides much more detailed and richer descriptions for them (in terms of subclasses, attributes and relationships).

  6. 6.

    It is included as a kind of cultural heritage, with the aim of integrating it with more traditional kinds of cultural heritage, both from a scholarly perspective and for fostering its fruition in a touristic perspective. E.g., a tourist interested in the history of computing, while in Bari, might be spotted the chance to visit the collection at the Department of Computer Science, in order to see a specimen of the Olivetti Programma 101 computer.

  7. 7.

    For the sake of compactness, the book title ‘Commodore - Un’azienda sulla cresta... del baratro’ was reported as the acronym ‘UAsCdB’.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Bari, Bari, Italy

    Stefano Ferilli

  2. R&D Department, Artificial Brain S.r.l., Bari, Italy

    Domenico Redavid

Authors
  1. Stefano Ferilli
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  2. Domenico Redavid
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Correspondence to Stefano Ferilli .

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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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Ferilli, S., Redavid, D. (2020). An Ontology and Knowledge Graph Infrastructure for Digital Library Knowledge Representation. 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_6

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  • DOI: https://doi.org/10.1007/978-3-030-39905-4_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39904-7

  • Online ISBN: 978-3-030-39905-4

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