Towards Man/Machine Co-authoring of Advanced Analytics Reports Around Big Data Repositories

This paper explores the problem of generating advanced analytical report for gaining sophisticated insight from massive databases by machine assistance. This study shows a model that takes a country-specific scientometric scientific research analysis report as a template and goes into a curated source database to generate a similar insightful report for other countries. The overall process consists of three key phases. The first phase is processing the template report for identifying the generalizable data elements. The second phase is extracting the elements for the selected country from a scholarly database. The third phase is re-assembling the high-level report for the new case. A case study on big data analysis is presented for Saudi Arabia scientific research publications. The generated co-authored report was evaluated by 10 human reviewers through assessing several criteria in the report, which achieved a satisfactory evaluation.