Wikidata: A large-scale collaborative ontological medical database

By Houcemeddine Turki, Thomas M A Shafee, Mohamed Ali Hadj Taieb, Mohamed Benaouicha, Denny Vrandečić, Diptanshu Das, Helmi Hamdi. 2019

46 citations recorded by the source corpus.

Created in October 2012, Wikidata is a large-scale, human-readable, machine-readable, multilingual, multidisciplinary, centralized, editable, structured, and linked knowledge-base with an increasing diversity of use cases. Here, we raise awareness of the potential use of Wikidata as a useful resource for biomedical data integration and semantic interoperability between biomedical computer systems. We show the data model and characteristics of Wikidata and explain how this database can be automatically processed by users as well as by computer methods and programs. Then, we give an overview of the medical entities and relations provided by the database and how they can be useful for various medical purposes such as clinical decision support.

Subfields: Artificial Intelligence, Genetics, Molecular Biology

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In Artificial Intelligence

1. Reza Haffari
2. Tongtong Wu
3. Guilin Qi
4. Yujin Zhu
5. Xuekai Li
6. Yuan-Fang Li
7. Guoqiang Xu

Citations in the corpus

• Curriculum-Meta Learning for Order-Robust Continual Relation Extraction (2021, methodology): “As an essential component of information extraction, relation extraction has been widely utilized in downstream applications such as knowledge base construction (Turki et al. 2019) and population (Mahdisoltani, Biega, and Suchanek 2015).”