Hallstein Lie

TL;DR: This work has developed a deployment module to create ontologies and mappings from relational databases in a semi-automatic fashion; a query processing module to perform and optimise the process of translating ontological queries into data queries and their execution over either a single DB of federated DBs; and a query formulation module to support query construction for engineers with a limited IT background.

TL;DR: In this article, the authors present data access challenges in the data-intensive petroleum company Statoil and their experience in addressing these challenges with OBDA technology, and develop a deployment module to create ontologies and mappings from relational databases in a semi-automatic fashion, and a query processing module to perform and optimize the process of translating ontological queries into data queries and their execution.

TL;DR: This work presents OptiqueVQS, a query formulation tool designed based on the experience with OBDA applications in Statoil and Siemens and on best HCI practices for interdisciplinary engineering environments, which implements a number of unique techniques distinguishing it from analogous query formulation systems.

TL;DR: In this paper, the authors present data access challenges in the data-intensive petroleum company Statoil and their experience in addressing these challenges with ontology based data access (OBDA), which is a prominent approach to query databases which uses an ontology to expose data in a conceptually clear manner by abstracting away from the technical schema-level details of the underlying data.