Abstract
Large textual datasets require careful design, collection, cleaning, encoding, annotation, storage, retrieval, and curation to be of use for a wide range of research questions and to users across a number of disciplines. A growing number of national and other very large corpora are being made available, many historical archives are being digitised, numerous publishing houses are opening their textual assets for text mining, and many billions of words can be quickly sourced from the web and online social media. A number of key themes and questions emerge that are of interest to the contributing research communities: (a) what can be done to deal with IPR and data protection issues? (b) what sampling techniques can we apply? (c) what quality issues should we be aware of? (d) what infrastructures and frameworks are being developed for the efficient storage, annotation, analysis and retrieval of large datasets? (e) what affordances do visualisation techniques offer for the exploratory analysis approaches of corpora? (f) what kinds of APIs or other means of access would make the corpus data as widely usable as possible without interfering with legal restrictions? (g) how to guarantee that corpus data remain available and usable in a sustainable way? This year’s event focused primarily on huge and complex datasets, across the entire spectrum of their life cycle: from the selection of data (including organizational and legal issues) and modelling of the eventual resources, through curation and all the way to analysis and visualisation. Attention was also paid to the ecosystem in which datasets thrive and interact – with interoperability being one of the meeting’s leitmotifs.
Banski, Piotr