Data-mining the Semantic Web and spatially visualising the results
Wednesday, 27 May 2015 from 09:30 to 17:00 (IST)
San Francisco, California
London, United Kingdom
This workshop presents a classic digital humanities project. It will show how a researcher might go about data-mining a Semantic Web resource and then representing the results of this exercise using spatial visualisation techniques.
The workshop is broken into two separate learning units:
The first introduces the topics of Linked Data and the Semantic Web from the perspective of a data consumer. The user will become familiar with data encoding formats such as RDF, the Linked Data querying language SPARQL and the data cleaning platform OpenRefine.
Learning Outcomes: Students will learn about the fundamentals of Linked Data and the Semantic Web from a user’s point of view; will know how to construct SPARQL queries that allow for intelligent data-mining of Linked Data resources such as the British Museum and DBpedia; will be able to parse and make sense of the results of these queries; will know how to use OpenRefine to clean and format data into forms that can then be used for secondary analysis and visualisation. The second part of the workshop will focus on the implementation of GeoJSON for the purposes of creating a basic map. Through the exercise, participants will be able to build a map using Leaflet and OpenStreetMaps. They will also be able to annotate the map using the spatial data gathered in the first part of the workshop. The workshop aims to condense the functions of a complete Digital Humanities project into an illustrative module, from the data-mining to the data-representation.
Frank Lynam has more than a decade of experience working in R&D in the technology sector. He completed his BA at Trinity College Dublin where he read Ancient History and Archaeology and Italian. He studied Mesopotamian archaeology and the archaeology of South Asia during his MPhil in Archaeology at the University of Cambridge. He is currently in his final year of the 4-year Digital Arts and Humanities PhD programme at Trinity College Dublin. His doctoral research considers how archaeology might benefit from Big Data analysis using Linked Data and Semantic Web techniques.
Vinayak Das Gupta is a doctoral candidate in Trinity College Dublin and a part of the Digital Arts and Humanities PhD Programme. His research focuses on extracting meaningful metadata from historical photographs and re-contextualizing them within the digital archive. Prior to this, he has worked in television journalism, advertising and graphic design. He is interested in the means through which data can be communicated to a wider audience.
When & Where
Digital Arts and Humanities
DAH is a structured PhD programme and research consortium comprised of five academic partners (Maynooth University, National University of Ireland Galway, the Royal Irish Academy, Trinity College Dublin, University College Cork) and one devolved partner, Queen’s University Belfast. We currently have 70 students, at various stages of their PhD research, who are undertaking either a digital humanities or digital arts PhD – there is a list of their research statements on the DAH website (www.dahphd.ie).