We assume elementary knowledge on RDF and SPARQL,Īnd more advanced concepts will be tackled depending on the competences of the audience. This tutorial focuses on all researchers that are active in the domain of querying Linked Data,Īnd developers that are interested in a flexible querying platform. ( http://rml.io/cikm2018tutorial/) at the CIKM conference 2018.
On Knowledge Representation as Linked Data This is the first tutorial that is dedicated to Comunica.īefore that, Comunica was used as a tool to demonstrate various querying capabilities in a tutorial Which makes it possible to run engines anywhere,īoth locally on your machine, or on the Web via a browser.
#Github outlinely code
Which makes it easy to learn from the code when new modules need to be implemented.įurthermore, it is written in JavaScript, The Comunica platform is fully open-source, Instead of comparing completely different engines with a potentially different stack. Not only does this lower the barrier towards such evaluations,īecause algorithms are implemented in the same engine, The modularity and flexibility of Comunica is useful for research purposes,Īs it allows you to easily plug in different algorithms of certain query operators,
Thanks to the modularity of Comunica, support for new kinds of datasourcesĬan be added by writing a custom module, and plugging it in.
This functionality is demonstrated via our Web application. This engine is able to federate queries over heterogeneous interfaces,įor example, one can execute a SPARQL query over the combination of a SPARQL endpointĪnd a collection Linked Data documents on the Web. Which implements the SPARQL 1.1 specification using an efficient set of modules. One example of such a query engine instantiation is Comunica SPARQL, That elicit research on new querying techniques and combinations of existing ones.Ĭomunica is a meta query engine that was introducedĪs a tool to facilitate the development, testing, and evaluation of such querying capabilities.Īs such, it is a tool with which query engines can be created,Īnd a flexible configuration system to wire them together. Querying is a key aspect of the Semantic Web Stack ,Īnd a large variety of query algorithms for different kinds of Linked Data interfaces already exist.
#Github outlinely install
If you intend to participate in the hands-on part of this tutorial, make sure to install the required software. Ultimately, this will reduce the effort needed to developĪnd evaluate new Linked Data querying techniques. Will be able to query Linked Data with Comunica,Īnd modify the querying process with custom algorithms. The tutorial consists of an overview of the capabilities of this platform,Īnd demonstrates its usage for research purposes.Īs a result, participants from different backgrounds To enable researchers to easily get started with Comunica. We recently introduced a meta query engine, called Comunica,Īs a research platform that offers a way to cope with this complexity. Querying Linked Data on the Web is a non-trivial endeavourīecause of the heterogeneity of Linked Data publication interfacesĪnd the large variety of querying algorithms. Querying Linked Data with Comunica Querying Linked Data with Comunicaĭepartment of Electronics and Information Systems,
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