This tutorial is a thorough and deep introduction to the Digital Libraries (DL) field, providing a firm foundation: covering key concepts and terminology, as well as services, systems, technologies, methods, standards, projects, issues, and practices. It introduces and builds upon a firm theoretical foundation (starting with the `5S’ set of intuitive aspects: Streams, Structures, Spaces, Scenarios, Societies), giving careful definitions and explanations of all the key parts of a `minimal digital library’, and expanding from that basis to cover key DL issues. Illustrations come from a set of case studies, including from multiple current projects. Attendees will be exposed to four Morgan and Claypool books that elaborate on 5S, published 2012-2014. Complementing the coverage of `5S’ will be an overview of key aspects of the DELOS Reference Model and DL.org activities. Further, use of a Hadoop cluster supporting big data DLs will be described.
The Digital Public Library of America (DPLA) provides access to over 15 million objects from libraries, museums, and archives. In addition to serving as an open portal for cultural heritage, literature, art, and scientific materials, the DPLA provides access to extensive metadata related to these materials via an openly available, RESTful application programming interface (API). The open API enables third party developers to create targeted applications that enable new and transformative uses of the items indexed by the DPLA. This half day tutorial will introduce participants to the DPLA’s data model, describe the API, explain how to retrieve data using the API, and how to work with the retrieved data using freely available software using both interactive and programmatic techniques.
This program has been cancelled as of June 14, 2017.
The objective of this tutorial is to provide a comprehensive overview of the issues to face in order to mine scientific textual information, thus identifying challenges, solutions, and opportunities to improve the way we access to Scholarly Digital Libraries. This tutorial includes an overview of the most relevant tasks related to the processing of scientific documents, including but not limited to the in-depth analysis of the structure of the scientific articles, their semantic interpretation, content extraction and summarization.
