Arabic linked drug dataset consolidating and publishing

Author:

Lakshen Guma1,Janev Valentina2ORCID,Vranes Sanja2ORCID

Affiliation:

1. School of Electrical Engineering, University of Belgrade, Belgrade, Serbia

2. Mihajlo Pupin Institute, University of Belgrade, Belgrade, Serbia

Abstract

The paper examines the process of creating and publishing an Arabic Linked Drug Dataset based on open drug datasets from selected Arabic countries and discusses quality issues considered in the linked data lifecycle when establishing a semantic Data Lake in the pharmaceutical domain. Through representation of the data in an open machine-readable format, the approach provides an optimum solution for information and dissemination of data and for building specialized applications. Authors contribute to opening the drug datasets from Arabic countries, interlinking the data with diverse repositories such as DrugBank, and DBpedia, and publishing it in a standard open manner that allows further integration and building different business services on top of the integrated data. This paper showcases how drug industry can take full advantage of the emerging trends for building competitive advantages. However, as is elaborated in this paper, better understanding of the specifics of the Arabic language is needed in order to extend the usage of linked data technologies in Arabic companies.

Publisher

National Library of Serbia

Subject

General Computer Science

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Drug traceability system based on semantic blockchain and on a reputation method;World Wide Web;2024-09

2. A semantic blockchain-based system for drug traceability;International Database Engineered Applications Symposium Conference;2023-05-05

3. Toward a Solution for an Energy Knowledge Graph;Lecture Notes in Electrical Engineering;2023

4. Responsible Knowledge Management in Energy Data Ecosystems;Energies;2022-05-27

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