Abstract
(Extended Abstract) While most previous research focused only on the textual content of documents, advanced support for document management in Digital Libraries, for Open Science, requires handling all aspects of a document: from structure, to content, to context. These different but inter-related aspects cannot be handled separately, and were traditionally ignored in Digital Libraries. We propose a graph-based unifying representation and handling model based on the definition of an ontology that integrates all the different perspectives and drives the document description in order to boost the effectiveness of document management. We also show how even simple algorithms can profitably use our proposed approach to return relevant and personalized outcomes in different document management tasks.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dewey, M.: A classification and subject index for cataloguing and arranging the books and pamphlets of a library. Amherst, Massachusetts (1876)
Ferilli, S.: An automatic intelligent system for document processing and fruition. Trans. Mach. Learn. Data Min. 11, 43–62 (2018)
Ferilli, S.: Integration strategy and tool between formal ontology and graph database technology. Electronics 10(2616) (2021)
Ferilli, S., Redavid, D.: The GraphBRAIN system for knowledge graph management and advanced fruition. In: Helic, D., Leitner, G., Stettinger, M., Felfernig, A., Raś, Z.W. (eds.) ISMIS 2020. LNCS (LNAI), vol. 12117, pp. 308–317. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-59491-6_29
Ferilli, S., Redavid, D.: An ontology and knowledge graph infrastructure for digital library knowledge representation. In: Ceci, M., Ferilli, S., Poggi, A. (eds.) IRCDL 2020. CCIS, vol. 1177, pp. 47–61. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-39905-4_6
Hocker, J., Schindler, C., Rittberger, M.: Participatory design for ontologies: a case study of an open science ontology for qualitative coding schemas. Aslib J. Inf. Manage. 72, 671–685 (2020)
IFLA Study Group on the FRBR: Functional requirements for bibliographic records - final report. Tech. rep., International Federation of Library Associations and Institutions (2009)
Manghi, P., et al.: The openaire research graph data model (2019). https://doi.org/10.5281/zenodo.2643199
Miller, G.: WordNet: a lexical database for English. Commun. ACM 38, 39–41 (1995)
Mons, B., et al.: Cloudy, increasingly fair; revisiting the fair data guiding principles for the European open science cloud. Inf. Serv. Us 37, 49–56 (2017)
Spellman, B.A., Gilbert, E.A., Corker, K.S.: Open Science, pp. 1–47. John Wiley & Sons, Ltd (2018). https://doi.org/10.1002/9781119170174.epcn519
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Ferilli, S., Di Pierro, D., Redavid, D. (2023). Holistic Graph-Based Document Representation and Management for Open Science. In: Alonso, O., Cousijn, H., Silvello, G., Marrero, M., Teixeira Lopes, C., Marchesin, S. (eds) Linking Theory and Practice of Digital Libraries. TPDL 2023. Lecture Notes in Computer Science, vol 14241. Springer, Cham. https://doi.org/10.1007/978-3-031-43849-3_1
Download citation
DOI: https://doi.org/10.1007/978-3-031-43849-3_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-43848-6
Online ISBN: 978-3-031-43849-3
eBook Packages: Computer ScienceComputer Science (R0)