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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Notes
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A demo is available at http://193.204.187.73:8088/GraphBRAIN/.
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Ferilli, S. (2022). Holistic Graph-Based Representation and AI for Digital Library Management. In: Silvello, G., et al. Linking Theory and Practice of Digital Libraries. TPDL 2022. Lecture Notes in Computer Science, vol 13541. Springer, Cham. https://doi.org/10.1007/978-3-031-16802-4_50
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DOI: https://doi.org/10.1007/978-3-031-16802-4_50
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