@inproceedings{4a9f5f7fa8bb42349ee123479f64ac13,
title = "Methods of creating knowledge graph by linking biological databases",
abstract = "A large number of biological databases are currently in use by scientists. These databases employ different formats, many of which can be converted into resource description format (RDF), which can be subsequently queried using semantic web methods. These databases have “inter” and “intra” database relationships. RDF has an inherent graph structure that facilitates exploration of connections between data via graphical representations known as knowledge graphs. In this paper, we survey the existing methods that are in use to link biological databases and evaluate the effectiveness with which the available approaches can predict unknown links between entities in databases as a means of improving knowledge graphs.",
keywords = "Information retrieval, Knowledge graph, Missing links, Protein-protein interaction",
author = "Nazar Zaki and Chandana Tennakoon and {Al Ashwal}, Hany and {Al Jaberi}, Alanoud and {Al Ameri}, Amel",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 12th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2018 ; Conference date: 20-06-2018 Through 22-06-2018",
year = "2019",
doi = "10.1007/978-3-319-98702-6_7",
language = "English",
isbn = "9783319987019",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "52--62",
editor = "Miguel Rocha and Mohamad, {Mohd Saberi} and {De Paz}, {Juan F.} and Florentino Fdez-Riverola and Pascual Gonzalez",
booktitle = "Practical Applications of Computational Biology and Bioinformatics, 12th International Conference",
}