State-of-the-art reasoning systems developed in the UoA have underpinned the standardisation of
ontology languages, and play a critical role in numerous applications. For example, HermiT,
software developed in the UoA, is being used by Électricité de France (EDF) to provide bespoke
energy saving advice to 265,000 customers in France, and a roll out of the use of the system to all
of their 17 million customers is planned.
Work undertaken at the Applied DSP and VLSI Research Group since the
early/mid nineties, has led to a number of significant contributions
underpinning the development and commercial exploitation by industry of
power efficient and complexity reduced integrated Digital Signal
Processing (DSP) systems and products. These developments
have paved the way for a new paradigm in the design of complexity reduced
electronic systems aiding the emergence of numerous new commercial
application areas and products in a diversity of fields. Indeed, these
developments continue their currency and applicability in today's
electronic products sector and thus shall be at the core of this case
Within this case study we present the TrOWL technology developed at the
University of Aberdeen that enables more efficient and scalable
exploitation of semantic data. TrOWL and its component algorithms — REL,
Quill and the Aberdeen Profile Checker — have had non-academic impact in
two key areas. With respect to practitioners and professional services,
the technology has enabled the introduction of two important World Wide
Web Consortium (W3C) standards: OWL2 and SPARQL 1.1. This has led to
impact in the way that many companies work, across a range of sectors.
Further, through partnership with specific companies, the use of TrOWL has
changed the way they operate and the technical solutions they provide to
clients. These collaborations have led to economic impacts in
companies such as Oracle in "mitigat[ing] the losses of potential
customers", and IBM in "using the TrOWL reasoning infrastructure in
[their] Smarter Cities solutions".
The application of advanced control algorithms has generated an impact on
the economy and the environment through increased precision and reduced
cost of operation of fast mechanical systems. A reduction in fuel
consumption and CO2 emissions has been achieved in the transportation
industry by the implementation of novel advanced control algorithms for
advanced cruise control systems.
In 1997 ERPE invented a novel automatic machining feature recognition
technology which has been incorporated into the Pathtrace EdgeCAM Solid
Machinist Computer Aided Manufacture (CAM) package, now owned by Planit
plc. EdgeCAM is considered as one of the leading independent solid
machinist CAM package, with 10 - 15% of the world market. Related ERPE
feature recognition in shape representation and characterisation has
enabled the design of a 3D shape browser for product data management
systems. Commercialised in 2005 as ShapeSpace with £0.7M current market
value, for application to the parts industry in automotive markets, it has
attracted the US Actify Inc., as an equity sharing partner to aid
ShapeSpace to access worldwide markets.
The volume and diversity of data that companies need to handle are
increasing exponentially. In
order to compete effectively and ensure companies' commercial
sustainability, it is becoming
crucial to achieve robust traceability in both their data and the evolving
designs of their systems.
The CRISTAL software addresses this. It was originally developed at CERN,
contributions from UWE Bristol, for one of the Large Hadron Collider (LHC)
experiments, and has
been transferred into the commercial world. Companies have been able to
agility, generate additional revenue, and improve the efficiency and
cost-effectiveness with which
they develop and implement systems in various areas, including business
(BPM), healthcare and accounting applications. CRISTAL's ability to manage
data and their
provenance at the terabyte scale, with full traceability over extended
timescales, based on its
description-driven approach, has provided the adaptability required to
future proof dynamically
evolving software for these businesses.
This case study embodies a non-linear relationship between underpinning
development and deployment. It involves computer science research at UWE
in conjunction with
its applied development for the world's largest particle physics
laboratory and onward deployment
commercially into private sector industry.
Optimisation tools developed in the UoA have significantly advanced the
ability to find the best designs for complex systems in cases where these
were previously unobtainable. These optimisation tools have been
implemented in several companies to shorten design times, reduce costs and
reduce CO2 emissions. This has brought about new multi-million
pound revenues, long-term contracts, increased employment and contribution
to sustainability targets.
Spatial decomposition methods have been extended to apply to spatial,
scale, and temporal domains as a result of work at the Numerical and
Applied Mathematics Research Unit (NAMU) at the University of Greenwich.
This work has led to a numerical framework for tackling many nonlinear
problems which have been key bottlenecks in software design and scientific
computing. The work has benefitted the welding industry in the UK because
these concepts are now embedded, with parallel computing, in the
industry's modern welding design process software.
The University of Brighton's (UoB) research has reduced information
misuse and decreased the threat of data and identity theft in Nokia
Location and Commerce (L&C). Further impact has been to lower the risk
of corporate liability and consumers' personal loss. UoB's innovative
research in the creation of concept diagrams now underpins and provides
rigour to Nokia L&C's privacy engineering processes. Consequently,
they can now communicate complex information across diverse teams in an
intuitive and accessible manner. Ultimately, the impact is on all
customers and users of Nokia's L&C's services worldwide.
Automotive design analysis software based on qualitative reasoning
research in the Advanced Reasoning Group at Aberystwyth is deployed at
more than 200 automotive and aeronautic OEMs and Tier 1 suppliers
world-wide. The software necessitates companies changing their process for
performing design analysis, and companies are willing to do this because
of the attendant benefits.
The major benefits of use of the software are early feedback on potential
problems with the design of automotive systems, and improved safety of
automotive designs. Related benefits are improved product time to market,
and cost savings. A representative example of production savings of $2.5
million has been given for use of the software on a single product design,
as well as Ford Motor Company's estimate of $20M per year saved in just