Towards Efficient Data Access Through Multiple Relationship in Graph-Structured Digital Archives

Author:

Kusu KazumaORCID,Komamizu TakahiroORCID,Hatano KenjiORCID

Publisher

Springer International Publishing

Reference24 articles.

1. Angles, R., et al.: G-CORE: a core for future graph query languages. In: Proceedings of the 2018 International Conference on Management of Data, SIGMOD 2018, pp. 1421–1432. ACM (2018). https://doi.org/10.1145/3183713.3190654

2. Barabási, A.L., Pósfai, M.: Network Science. University Press, Cambridge (2016)

3. Barabási, A.L., Frangos, J.: Linked: The New Science of Networks Science of Networks. Perseus Books Group, New York (2002)

4. Candela, G., Escobar, P., Carrasco, R.C., Marco-Such, M.: Evaluating the quality of linked open data in digital libraries. J. Inf. Sci. 48(1), 21–43 (2022). https://doi.org/10.1177/0165551520930951

5. DB-Engines: Ranking of Graph DBMS. https://db-engines.com/en/ranking/graph+dbms. Accessed 8 Aug 2022

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