Abstract
Keys for graphs specify the topology and value constraints to uniquely identify entities in a graph in applications such as object identification, knowledge fusion, deduplication, and social network reconciliation. Despite their prevalence, existing key mining algorithms do not consider graph keys with recursive key definitions, which capture dependence between entities. We introduce \(\mathsf {GKMiner}\), an algorithm that mines recursive keys over graphs. We show the efficiency and utility of our discovered keys using large-scale, real data graphs.
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References
Imdb dataset (2021). ftp://ftp.fu-berlin.de/pub/misc/movies/database/frozendata/
Alipourlangouri, M., Chiang, F.: Discovery of keys for graphs [extended version]. arXiv preprint arXiv:2205.15547 (2022)
Angles, R., et al.: Pg-keys: keys for property graphs. In: SIGMOD, pp. 2423–2436 (2021)
Fan, W., Fan, Z., Tian, C., Dong, X.L.: Keys for graphs. Proceed. VLDB Endowment 8(12), 1590–1601 (2015)
Ilyas, I.F., Chu, X.: Trends in cleaning relational data: consistency and deduplication. Found. Trends Databases 5(4), 281–393 (2015)
Lehmann, J., Isele, R., Jakob, M., et al.: Dbpedia-a large-scale, multilingual knowledge base extracted from wikipedia. Semant. web 6(2), 167–195 (2015)
Mahdisoltani, F., Biega, J., Suchanek, F.: Yago3: a knowledge base from multilingual wikipedias. In: CIDR (2014)
Peterson, J.L., Silberschatz, A.: Operating System Concepts. Addison-Wesley Longman Publishing Co., Inc. (1985)
Skavantzos, P., Zhao, K., Link, S.: Uniqueness constraints on property graphs. In: La Rosa, M., Sadiq, S., Teniente, E. (eds.) CAiSE 2021. LNCS, vol. 12751, pp. 280–295. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-79382-1_17
Symeonidou, D., Armant, V., Pernelle, N., Saïs, F.: SAKey: scalable almost key discovery in RDF data. In: Mika, P. (ed.) ISWC 2014. LNCS, vol. 8796, pp. 33–49. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11964-9_3
Symeonidou, D., Galárraga, L., Pernelle, N., Saïs, F., Suchanek, F.: VICKEY: mining conditional keys on knowledge bases. In: d’Amato, C. (ed.) ISWC 2017. LNCS, vol. 10587, pp. 661–677. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-68288-4_39
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Alipourlangouri, M., Chiang, F. (2022). Discovery of Keys for Graphs. In: Wrembel, R., Gamper, J., Kotsis, G., Tjoa, A.M., Khalil, I. (eds) Big Data Analytics and Knowledge Discovery. DaWaK 2022. Lecture Notes in Computer Science, vol 13428. Springer, Cham. https://doi.org/10.1007/978-3-031-12670-3_17
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DOI: https://doi.org/10.1007/978-3-031-12670-3_17
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