Created in 2012, Wikidata has evolved as a high-scale structured ontological database representing the sum of all human knowledge due to its ability of represent all kinds of information in form of triples. Due to its characteristics, Wikidata has an increasing diversity of use cases including health support. In this panel, we will introduce Wikidata as a useful resource for medicine through the explanation of its data model and statistical analysis of the medical entities, labels, descriptions and relations provided by the database. Then, we will give an overview of how Wikidata's medical knowledge can be used and processed for a variety of purposes such as clinical decision support, biomedical data integration and semantic interoperability between biomedical computer systems. Finally, we will propose PubMed-based bibliometric-enhanced information retrieval methods to ameliorate the quality of medical information in Wikidata and discuss their efficiency.
The session highly related to Good Health and Well-Being (Goal 3). In fact, if Wikidata will include the sum of all biomedical knowledge, it can be used to ameliorate the accuracy and efficiency of clinical decision support systems and consequently to enhance the quality of healthcare services provided to patients.
The session is linked to Quality Education (Goal 4). Effectively, Wikidata can be useful for biomedical question answering as it involves a structured representation of international medical knowledge.
Each Space at Wikimania 2019 will have specific format requests. The program design prioritises submissions which are future-oriented and directly engage the audience. The format of this submission is a:
Not sure how this would works "how Wikidata's medical knowledge can be used and processed for a variety of purposes such as clinical decision support, biomedical data integration and semantic interoperability between biomedical computer systems" Doc James (talk) 22:54, 11 June 2019 (UTC)[reply]
Doc James: It will be difficult to explain this in a couple of lines. But, I will try to do that. As you already know, Wikidata entities are linked to corresponding ones in other biomedical ontologies using properties like MeSH ID. Consequently, two computer programs using distinct ontologies can interact together using Wikidata as a pivot ontology. Concerning biomedical data integration, it can be done using tools such as QuickStatements, Mix'n'match and Pywikibot. As for clinical decision support, you can refer to (Josefiok et al., 2015) and Diefenbach et al., 2017). If you like to have further details about this, please send me an email and I will answer it. --Csisc (talk) 15:24, 21 June 2019 (UTC)[reply]