A knowledge and reasoning toolkit for cognitive applications
Mustafa Canim, Cristina Cornelio, et al.
HotWeb 2017
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.
Mustafa Canim, Cristina Cornelio, et al.
HotWeb 2017
Maxwell Crouse, Pavan Kapanipathi, et al.
ACL 2023
Brian Byrne, Achille Fokoue, et al.
OM 2009
Jeffrey O. Kephart, Victor C. Dibia, et al.
IEEE Internet Computing