An interface for annotating science questions
Michael Boratko, Harshit Padigela, et al.
EMNLP 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.
Michael Boratko, Harshit Padigela, et al.
EMNLP 2018
Oktie Hassanzadeh, Parul Awasthy, et al.
ISWC 2022
Ibrahim Abdelaziz, Maxwell Crouse, et al.
IEEE TPAMI
Oktie Hassanzadeh, Songyun Duan, et al.
WWW 2011