Delve: A Data Set Retrieval and Document Analysis System

Uchenna Thankgod Akujuobi, Xiangliang Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Academic search engines (e.g., Google scholar or Microsoft academic) provide a medium for retrieving various information on scholarly documents. However, most of these popular scholarly search engines overlook the area of data set retrieval, which should provide information on relevant data sets used for academic research. Due to the increasing volume of publications, it has become a challenging task to locate suitable data sets on a particular research area for benchmarking or evaluations. We propose Delve, a web-based system for data set retrieval and document analysis. This system is different from other scholarly search engines as it provides a medium for both data set retrieval and real time visual exploration and analysis of data sets and documents.
Original languageEnglish (US)
Title of host publicationMachine Learning and Knowledge Discovery in Databases
PublisherSpringer Nature
Pages400-403
Number of pages4
ISBN (Print)9783319712727
DOIs
StatePublished - Dec 30 2017

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