Towards semantic data analysis
Mohsen Rais-Ghasem, Robin Grosset, Martin Petitclerc, Qing Wei · Conference of the Centre for Advanced Studies on Collaborative Research · 2013
Semantic-oriented data analysis techniques are rapidly gaining momentum in the information processing industry. In the Business Intelligence sphere, the products are moving away from traditional ETL paradigm that requires up-front preparation and modeling efforts, and towards more interactive and discovery-like analysis with the overall goal of achieving more insightful analyses faster and with fewer preparation steps. In this paper we outline such an analysis framework in whose heart lies a semantic annotator system that employs business ontology to make sense of data. The outcome is then passed to an analysis expert system that consults a set of declarative analysis guidelines to automatically produce useful analyses.