The afternoon will begin with a brief overview of the overall workflow proposed for generating linked data and what benefits potential creators of this data should expect. The session will then break down into two distinct parts. The first segment will introduce data cleansing and preparation from heterogeneous sources, both methodologically and as regards the use of a particular tool. The second segment will introduce will introduce data mapping to an ontology to generate RDF encoded data: how to go about it both conceptually and with regards to a specific tool.
The first session will present to the participants the possibilities given by software such as OpenRefine to clean and enrich the data. Following a brief introduction where the participants will be presented with the core functionalities of the tool, the workshop is going to focus on the refinement and enrichment on a series of reusable examples, teaching the participants common formulas for aligning their data with their own schema or with external source typically used by the cultural heritage community.
The data mapping and RDF transformation session will be taught using CIDOC CRM as the target ontology and the 3M data mapping software, as the mapping and transformation tool. This session will introduce participants to the functionality of ontology for data integration/transformation and teach participants both conceptually how to begin the analysis task of mapping data to an ontology as well as how to actually implement this mapping in the 3M tool leading to data transforms into RDF.