The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Survey of graph database models
Abstract
Graph database models can be defined as those in which data structures for the schema and instances are modeled as graphs or generalizations of them, and data manipulation is expressed by graph-oriented operations and type constructors. These models took off in the eighties and early nineties alongside object-oriented models. Their influence gradually died out with the emergence of other database models, in particular geographical, spatial, semistructured, and XML. Recently, the need to manage information with graph-like nature has reestablished the relevance of this area. The main objective of this survey is to present the work that has been conducted in the area of graph database modeling, concentrating on data structures, query languages, and integrity constraints.
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Cites
A relational model of data for large shared data banks
Codd, E. F. (1970) · Communications of the ACM · doi:10.1145/362384.362685 · Cited by 5,547 · cited 2×
“The relational db-model was introduced by Codd [30, 32] and highlights the concept of level of abstraction by introducing the idea of separation between physical and logical levels.”
MethodThe entity-relationship model—toward a unified view of data
Chen, P. P.-S. (1976) · ACM Transactions on Database Systems · doi:10.1145/320434.320440 · Cited by 4,708
Dorogovtsev, S. N., & Mendes, J. F. F. (2003) · doi:10.1093/acprof:oso/9780198515906.001.0001 · Cited by 1,563
Computer Networks As Social Networks
Wellman, B. (2001) · Science · doi:10.1126/science.1065547 · Cited by 918
Silberschatz, A., Korth, H. F., & Sudarshan, S. (1996) · ACM Computing Surveys · doi:10.1145/234313.234360 · Cited by 35
Cited by
Trust mechanisms in wireless sensor networks: Attack analysis and countermeasures
Yu, Y., Li, K., Zhou, W., & Li, P. (2012) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2011.03.005 · Cited by 353
50 Years of object recognition: Directions forward
Andreopoulos, A., & Tsotsos, J. K. (2013) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2013.04.005 · Cited by 347
Recognition and retrieval of mathematical expressions
Zanibbi, R., & Blostein, D. (2012) · International Journal on Document Analysis and Recognition (IJDAR) · doi:10.1007/s10032-011-0174-4 · Cited by 284
Introduction: What is a knowledge graph?
Fensel, D., Şimşek, U., Angele, K., Huaman, E., Kärle, E., Panasiuk, O., Toma, I., Umbrich, J., & Wahler, A. (2020) · Knowledge Graphs · doi:10.1007/978-3-030-37439-6_1 · Cited by 244
Covid19-obkg: an ontology-based knowledge graph and web service for covid-19
Zheng, X., Xiao, Y., Song, W., Tong, F., Liu, S., & Zhao, D. (2021) · 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm52615.2021.9669535 · Cited by 3
Metadata
- Authors
- Angles, R., & Gutierrez, C.
- Venue
- ACM Computing Surveys
- Published
- 2008-02
- Volume
- 40
- Issue
- 1
- Pages
- 1-39
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- OpenAlex
- W2114507260
- Cited by
- 1,706
- References
- 5
- FWCI
- 167.90
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
