Exploring Datasets via Cell-Centric Indexing

Jeff Heflin, Brian D. Davison and Haiyan Jia

Full Paper (8 pages)
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Abstract
We present a novel approach to dataset search and exploration. Cell-centric indexing is a unique indexing strategy that enables a powerful, new interface. The strategy treats individual cells of a table as the indexed unit, and combining this with a number of structure-specific fields enables queries that cannot be answered by a traditional indexing approach. Our interface provides users with an overview of a dataset repository, and allows them to efficiently use various facets to explore the collection and identify datasets that match their interests.

In Proceedings of DESIRES 2021: Design of Experimental Search and Information REtrieval Systems, CEUR Workshop Proceedings, Volume 2950, pp. 53-60, Padua, Italy, September.

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Last modified: 24 September 2021
Brian D. Davison