Dataset Discovery and Exploration: State-of-the-art, Challenges and Opportunities

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Dataset discovery and exploration involve identifying and understanding the available data, thereby informing users as to what data analyses may be possible. Discovering and exploring the relationships between datasets benefits from tool support, and in this tutorial, we specifically consider techniques that underpin
dataset search, data navigation, dataset annotation and schema inference. Although there are are significant results in each of these areas, in practice they are far from independent of each other, and can share both objectives and underlying techniques. As a result, this tutorial not only seeks to provide insights into the challenges and opportunities of these areas in isolation, but also points out how they can complement and inform each other. The tutorial is associated with a Python Notebook to illustrate the concepts and techniques discussed in practice.
Original languageEnglish
Title of host publicationProceedings 27th International Conference on Extending Database Technology ( EDBT 2024 )
ISBN (Electronic)978-3-89318-095- 0
Publication statusAccepted/In press - 5 Feb 2024

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