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Research over two decades at the University of Southampton into the structure and development of the World Wide Web has led to the establishment of a new scientific field, which has earned recognition — and direct funding — from governments and industry around the world. Web Science is the study of the Web as a sociotechnical system. Southampton's work has influenced the Web strategies of the world's biggest companies, including Microsoft, IBM and Google, informed international Web standards and government information policies, led to a network of international laboratories working with industry to advance the Web's development through the provision of highly skilled people taking up specialist roles that draw on their research training.
Open Data has lowered barriers to data access, increased government transparency and delivered significant economic, social and environmental benefits. Southampton research and leadership has led to the UK Public Data Principles, which were enshrined in the UK Government Open Data White Paper, and has led to data.gov.uk, which provides access to 10,000 government datasets. The open datasets are proving means for strong citizen engagement and are delivering economic benefit through the £10 million Open Data Institute. These in turn have placed the UK at the forefront of the global data revolution: the UK experience has informed open data initiatives in the USA, EU and G8.
The Statistical Cybermetrics Research Group (SCRG) has developed web-based indictors and methods for use in research policy and research evaluation for governmental bodies and non- governmental organisations. The research has impact by providing tools and new types of indicators for policy-relevant evaluations for policy makers and decision makers. The research itself includes (a) the direct production and implementation of new indicators and (b) theoretical research into indicator foundations and tool performance, such as that of the web search engines used for indicator construction. The research has impact on policy making within the United Nations Development Programme by aiding evaluations of its initiatives, and within Oxfam and the BBC World Service Trust. It has impact on policy making at the national and international levels to aid the effective directing of funding to aid knowledge production. It has also has impact on public services by helping Nesta and Jisc to evaluate the success of some of their initiatives.
Visual analytics is a powerful method for understanding large and complex datasets that makes information accessible to non-statistically trained users. The Non-linearity and Complexity Research Group (NCRG) developed several fundamental algorithms and brought them to users by developing interactive software tools (e.g. Netlab pattern analysis toolbox in 2002 (more than 40,000 downloads), Data Visualisation and Modelling System (DVMS) in 2012).
Industrial products. These software tools are used by industrial partners (Pfizer, Dstl) in their business activities. The algorithms have been integrated into a commercial tool (p:IGI) used in geochemical analysis for oil and gas exploration with a 60% share of the worldwide market.
Improving business performance. As an enabling technology, visual analytics has played an important role in the data analysis that has led to the development of new products, such as the Body Volume Index, and the enhancement of existing products (Wheelright: automated vehicle tyre pressure measurement).
Impact on practitioners. The software is used to educate and train skilled people internationally in more than 6 different institutions and is also used by finance professionals.
KCL research played an essential role in the development of data provenance standards published by the World Wide Web Consortium (W3C) standards body for web technologies, which is responsible for HTTP, HTML, etc. The provenance of data concerns records of the processes by which data was produced, by whom, from what other data, and similar metadata. The standards directly impact on practitioners and professional services through adoption by commercial, governmental and other bodies, such as Oracle, IBM, and Nasa, in handling computational records of the provenance of data.
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.
Our research has enabled archaeological professional and commercial organisations to integrate diverse archaeology excavation datasets and significantly develop working practices. Commercial archaeological datasets are usually created on a per-site basis structured via differing schema and vocabularies. These isolated information silos hinder meaningful cross search and comparison. As the only record of unrepeatable fieldwork, it is essential that these data are made available for re-use and re-interpretation. As a result of the research, the Archaeology Data Service, English Heritage, the Royal Commissions on the Ancient and Historical Monuments of Scotland and Wales have published as Linked Data important excavation datasets and national vocabularies that can act as hubs in the web of archaeological data.
The research in this case study has pioneered knowledge management technology. It has had major impact on drug discovery and translational medicine and is widely adopted in the pharmaceutical and healthcare industries. The impacts are:
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 Galatean Risk and Safety Tool (GRiST) is a clinical decision support system (CDSS) conceived and developed by computer scientists at Aston University from 2000 onwards, where it is being delivered as a cloud-computing service. It is used every day by mental-health practitioners in the NHS, charities, and private hospitals to assess and manage risks associated with mental-health problems. Between 1/1/2011 and 31/7/2013, clinicians provided 285,426 completed patient risk assessments using GRiST. It has changed organisational and clinical processes by its systematic collection of risk information, explicitly linking data to clinical risk judgements, and showing how those judgments are derived. Increasing international awareness has come through presentations to mental-health practitioners in Europe, America, and Australia.