Abstract
Constructing knowledge graphs from heterogeneous data sources and evaluating their quality and consistency are important research questions in the field of knowledge graph. We propose mapping rules to guide users to translate data from relational and graph sources into a meaningful knowledge graph, and design a user-friendly language to specify the mapping rules. Given the mapping rules and constraints on source data, equivalent constraints on the target graph can be inferred, which is referred as data source constraints. Besides this type of constraints, we design other two types: user-specified constraints and general rules that a high-quality knowledge graph should adhere to. We translate the three types of constraints into uniform expressions in the form of graph functional dependencies and extended graph dependencies, which can be used for consistency checking. Our approach provides a systematic way to build and evaluate knowledge graphs from diverse data sources.
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
Similar content being viewed by others
Notes
References
Alexe, B., Hernández, M., Popa, L., Tan, W.C.: Mapmerge: correlating independent schema mappings. VLDB J. 21, 191–211 (2012)
Angles, R., Thakkar, H., Tomaszuk, D.: Mapping RDF databases to property graph databases. IEEE Access 8, 86091–86110 (2020)
Asprino, L., Daga, E., Gangemi, A., Mulholland, P.: Knowledge graph construction with a façade: a unified method to access heterogeneous data sources on the web. ACM Trans. Internet Technol. 23(1), 1–31 (2023)
Calvanese, D., et al.: Ontologies and databases: the DL-Lite approach. In: Tessaris, S., et al. (eds.) Reasoning Web 2009. LNCS, vol. 5689, pp. 255–356. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-03754-2_7
Dong, X., et al.: Knowledge vault: a web-scale approach to probabilistic knowledge fusion. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 601–610 (2014)
Dooley, D.M., et al.: Foodon: a harmonized food ontology to increase global food traceability, quality control and data integration. NPJ Sci. Food 2(1), 23 (2018)
Fan, W., Hu, C., Liu, X., Lu, P.: Discovering graph functional dependencies. ACM Trans. Database Syst. (TODS) 45(3), 1–42 (2020)
Fan, W., Wu, Y., Xu, J.: Functional dependencies for graphs. In: Proceedings of the 2016 International Conference on Management of Data, pp. 1843–1857 (2016)
Mazilu, L., Paton, N.W., Fernandes, A.A., Koehler, M.: Dynamap: schema mapping generation in the wild. In: Proceedings of the 31st International Conference on Scientific and Statistical Database Management, pp. 37–48 (2019)
Vrandečić, D., Krötzsch, M.: Wikidata: a free collaborative knowledgebase. Commun. ACM 57(10), 78–85 (2014)
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
Zheng, X., Dasgupta, S., Gupta, A. (2023). P2KG: Declarative Construction and Quality Evaluation of Knowledge Graph from Polystores. In: Abelló, A., et al. New Trends in Database and Information Systems. ADBIS 2023. Communications in Computer and Information Science, vol 1850. Springer, Cham. https://doi.org/10.1007/978-3-031-42941-5_37
Download citation
DOI: https://doi.org/10.1007/978-3-031-42941-5_37
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-42940-8
Online ISBN: 978-3-031-42941-5
eBook Packages: Computer ScienceComputer Science (R0)