Sessions
Session information is continuously updated…
Web of Data Stack - Identifying standards and technologies | Christopher Pollin, Gerlinde Schneider
This session offers a brief and concise introduction to the basic principles and technologies to the Web of Data and Linked Open Data (LOD). No prior knowledge is assumed. Participants should gain a clear understanding of the concepts behind linked open data, how they are used, and how they are created. The session includes the following parts:
- Linked open data: what is the Web of Data Stack?
- The role of the Uniform Resource Identifier (URI)
- The Resource Description Framework (RDF) and data formats
- RDFs and simple controlled LOD vocabularies: Dublin Core and Friends of a Friend
The objective is to give the participants an understanding for the interaction of the individual components, in order to create the basis on which the following sessions can build on.
Linked Data Curation using Open Refine | Christian Steiner
OpenRefine, originally developed by Google (then called Google Refine), is an open-source desktop application primarily used for data wrangling purposes (data cleaning, preparation and enrichment). OpenRefine operates on the level of tables, similar to relational databases. It enables users to explore data sets, normalize them and automatically enrich them with services available via APIs. Transformation expressions can be written in General Refine Expression Language (GREL), Jython (i.e. Python) and Clojure.
In this session, we will learn how to benefit from OpenRefine’s methods to prepare and normalize various sets of different data. We will talk about the available data types and how to profit from their transformations. However, our focus will be the potentials of automatic data enrichment with OpenRefine as well as the options to easily turn our data into Linked Open Data (LOD). Finally, we will also discuss how to contribute to the LOD community by exposing the concepts we will add with OpenRefine.