Solutions to IT Challenges in Norwegian Oil and Gas Industry
Oil and Gas Industry has complex IT challenges related to Big Data access. Large, multi-departmental corporations often rely on incompatible tools and data models for the various tasks faced by individual departments. In addition, data is often stored in ways that were designed for specialised uses that are not suited to current needs. Aside from internal data exchange, corporations often need to communicate information to partners, contractors and authorities.
In small corporations, working on small data sets, experts can manually retrieve data on demand. The expert understands the various data sources and the data needs of the end users, and can tailor queries to fit any request. For corporations working on large data sets, relying on experts for data access becomes expensive and time-consuming. It is estimated that between 30 % and 70 % of an IT engineer’s time is spent looking for and assessing the quality of the data found [Crompton, 2008].
In the LogID group, we believe that semantic technologies are the way to bridge the gap between different data formats and models. In recent years, we have focused much of our research on a technology known as Ontology-Based Data Access (OBDA). It is the OBDA technology that is the basis for the Optique platform.