Holistic graph-based document representation and management for open science

Author:

Ferilli StefanoORCID,Redavid Domenico,Di Pierro Davide

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences

Reference51 articles.

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2. Auer, S., Kovtun, V., Prinz, M., et al.: Towards a knowledge graph for science. In: Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics. Association for Computing Machinery, New York, NY, USA, WIMS ’18 (2018) https://doi.org/10.1145/3227609.3227689

3. Bartling, S., Friesike, S. (eds.): Opening Science. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-00026-8

4. Belew, R.K.: Adaptive information retrieval: using a connectionist representation to retrieve and leasrn about documents. SIGIR Forum 51(2), 106–115 (2017). https://doi.org/10.1145/3130348.3130359

5. Berger, H., Dittenbach, M., Merkl, D.: An adaptive information retrieval system based on associative networks. In: Hartmann S, Roddick JF (eds) Conceptual Modelling 2004, First Asia-Pacific Conference on Conceptual Modelling (APCCM2004), Dunedin, New Zealand, January 18–22, 2004, CRPIT, vol 31. Australian Computer Society, pp 27–36 (2004)

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