Feb 13, 2023
Knowledge graphs like Wikidata have shown a successful use case for Semantic Web technologies as they can offer information from different domains which can be accessed through a SPARQL endpoint. However, their success, which made their size increase, can also hinder their practical application for researchers which can not easily process or download a portion of their data about their specific domain in order to analyze that data or combine it with other datasets. In this tutorial we will present some techniques and tools that allow researchers to define subsets of Wikidata using Shape Expressions and create them. This would also allow researchers to store specific subsets for future reference, which facilitates reproducibility. The tutorial will be divided in three parts: in the first part we will present Wikidata and its data model, as well as the Entity Schemas namespace based on ShEx that can be used to describe Wikidata subsets, in the second part we will present the tools that can be used to create subsets from those Shape Expression schemas, and in the third part, we will describe use cases and applications of the generated subsets.
Since 2008, the SWAT4(HC)LS Workshop has provided a platform for the presentation and discussion of the benefits and limits of applying Web-based information systems and semantic technologies in the domains of health care and life sciences. Growing steadily each year as Semantic Web applications become more widespread, SWAT4LS has been in Edinburgh (2008), Amsterdam (2009), Berlin (2010), London (2011), Paris (2012), Aveiro (SWAT4LS School organized in 2012), Edinburgh (2013) and Berlin (2014). Since 2015, SWAT4LS changed format and has been organized as a 2 day conference, preceded by a tutorial day and followed by a hackathon day (Cambridge, 2015, and Amsterdam, 2016). SWAT4(HC)LS aims at providing an open and stimulating environment that brings together researchers, both developers and users, from areas as diverse as eHealth, medical and clinical informatics, bioinformatics, cheminformatics, drug discovery, drug safety, systems biology, medical physics, data science, and biocomputing, to discuss goals, current limits and real experiences in the application of Semantic Web and Linked Data technologies to challenges in health care and life sciences. The meetings are typically very interactive and are accompanied by tutorials and a hackathon.
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