Paper Info
Title
Leveraging learning innovations in cognitive computing with massive data sets: Using the offshore Panama papers leak to discover patterns.
Abstract
Exposing learners to cognitive computing concepts involves new learning strategies. Because cognitive computing is probabilistic, using massive sets of data is fundamental in understanding these concepts. One data set is the release of the Offshore Panama Papers Leaks Database (LeaksDB) in May 2016, in which researchers were able to access this graph database as part of the International Consortium of Investigative Journalists (ICIJ) Offshore Leaks investigation and to draw conclusions about companies, trusts, foundations, and funds incorporated in 21 tax havens. For the purpose of this research, GraphDB Server was installed and configured by faculty members from a mid-western university. In addition, DBPedia and GeoNames repositories were linked to LeaksDB, leading to the discovery of interesting patterns about these Geo facade relationships between Officers (persons or companies) and Countries.
Year
DOI
Venue
2019
10.1016/j.chb.2017.12.013
Computers in Human Behavior
Keywords
Field
DocType
Cognitive computing,Learning analytics,Panama papers,Ontology,GraphDB
Data science,Data set,Graph database,Psychology,Knowledge management,Probabilistic logic,Cognitive computing,Submarine pipeline
Journal
Volume
ISSN
Citations 
92
0747-5632
0
PageRank 
References 
Authors
0.34
20
2
Name
Order
Citations
PageRank
Leyla Zhuhadar114617.53
Mark Ciampa260.80