Kyle Yingkai Gao, Achille Fokoue, et al.
IJCAI 2018
While much work has focused on efficient processing of Big Data, little work considers how to understand them. In this paper, we describe Helix, a system for guided exploration of Big Data. Helix provides a unified view of sources, ranging from spreadsheets and XML files with no schema, all the way to RDF graphs and relational data with well-defined schemas. Helix users explore these heterogeneous data sources through a combination of keyword searches and navigation of linked web pages that include information about the schemas, as well as data and semantic links within and across sources. At a technical level, the paper describes the research challenges involved in developing Helix, along with a set of real-world usage scenarios and the lessons learned.
Kyle Yingkai Gao, Achille Fokoue, et al.
IJCAI 2018
Oktie Hassanzadeh, Nora Abdelmageed, et al.
SemTab 2024
Hima Karanam, Sumit Neelam, et al.
ISWC-Posters-Demos-Industry 2018
Michael Glass, Nandana Mihindukulasooriya, et al.
ISWC 2017