An Exploratory Interface for Dataset Repositories Using Cell-Centric Indexing

Large collections of datasets are being published on the Web at an increasing rate. This poses a problem to researchers and data journalists who must sift through these large quantities of data to find datasets that meet their needs. Our solution to this problem is cell-centric indexing, a novel approach which considers the individual cell of a dataset to be the fundamental unit of search, indexing the corresponding metadata to each individual cell. This facilitates a new style of user interface that allows users to explore the collection via histograms thats how the distributions of various terms organized by how they are used in the dataset.

Poster paper in Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), pp. 5716-5718, December 2020. DOI: 10.1109/BigData50022.2020.9378057.

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