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Holistic Graph-Based Representation and AI for Digital Library Management

Published: 20 September 2022 Publication History

Abstract

The traditional record-based approach used in Digital Libraries has gone as far as it could. To support the needs and activities of different kinds of users, we propose a graph-based ‘holistic’ representation of DL knowledge, describing the documents’ metadata, physical aspects, content, context and lifecycle. We also propose its implementation based on a framework in which Formal Ontologies play the role of data schemas for the LPG-based DBs. This enables automated reasoning on the DL data, and we propose the use of multiple inference strategies.

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Ferilli S and Redavid D Ceci M, Ferilli S, and Poggi A An ontology and knowledge graph infrastructure for digital library knowledge representation Digital Libraries: The Era of Big Data and Data Science 2020 Cham Springer 47-61
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Published In

cover image Guide Proceedings
Linking Theory and Practice of Digital Libraries: 26th International Conference on Theory and Practice of Digital Libraries, TPDL 2022, Padua, Italy, September 20–23, 2022, Proceedings
Sep 2022
564 pages
ISBN:978-3-031-16801-7
DOI:10.1007/978-3-031-16802-4

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 20 September 2022

Author Tags

  1. Artificial Intelligence
  2. Knowledge Representation
  3. Knowledge Graphs
  4. Digital Libraries

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