SETA – ubiquitous data and service ecosystem for better metropolitan mobility
The objective of the SETA
project is to provide effective solutions for intelligent and sustainable mobility i.e. the smarter, greener and more efficient movement of people and goods. SETA will provide a radical change from transport as a series of separate modal journeys to an integrated, reactive, intelligent, mobility system. It will provide always-on, pervasive services to citizens and business, as well as decision makers to support safe, sustainable, effective, efficient and resilient mobility.
The project lasts 3 years, with €5.5M of funding from EU Horizon 2020 of which €1.2M is for Sheffield. Professor Ciravegna is the project director (2016-2019).
WeSenseIt – Citizen Water Observatories
has developed Citizen Observatories of Water Using Social and Physical Sensors. The project is funded by the European Commission, €961k for Sheffield (€5.5m in total). Professor Ciravegna is the project director (2012-2016). Citizen-based observatories of water will allow citizens and communities to become active stakeholders in information capturing, evaluation and communication. View our WeSenseIt Leaflet
is an industrial project that mines information from millions of social Web messages. Football Whispers is the world’s first football transfer predictor, built by football fans for football fans. We sort the dead certs from the long shots. We show you who’s really moving and who’s staying put; all with our unique Football Whispers Index. (2015-2016).
is a city-wide public health programme which aims to make it easier for everyone in Sheffield to be physically active as part of everyday life. The vision of Move More is for Sheffield to become the most active City in the UK by 2020 and as a result see meaningful improvement in the health, wellbeing and quality of life of individuals, families and communities living in the city. We have developed a smart phone app able to generate an objective measurement of activity, educate people about their activity levels and achieve large-scale behavioural change. The app is composed of a mobile app tracking the individual and a server side program performing data cleaning and visualisation.
Cabot I and Cabot II
Seeing with my own eyes
Seeing with my own eyes is an initiative to create a tool to support visually impaired students during lectures. It is funded by the University of Sheffield Alumni project (£10,000, 2015-2016).
A project funded by JustGiving
to explore the mining of large-scale information from the Web.
is a project in partnership with Tata Steel Research and Development (funded by Innovate UK) about managing and sharing knowledge in large distributed organisations.
LODIE – Linked Open Data for Information Extraction
Lodie studies, implements and evaluates Information Extraction (IE) models and algorithms able to perform efficient Web-scale learning. These will adapt to detailed user information needs in a completely automated way, with the objective of creating very large domain-dependent and task-dependent knowledge bases. We will address three dimensions of Web-scale: in the number of documents to analyse, in the unlimited number of domains, and in the number of facts to extract.
Crowd4Sat – Crowdsourcing for Observations from Satellites
The objective of Crowd4Sat
is to investigate the different facets of how crowdsourcing and citizen science impacts upon the validation, use and enhancement of ESA Observations from Satellites (OS) products and services, as well as how the ESA products can be used in crowdsourcing. The project will map the current crowdsourcing communities and initiatives, and survey the technological and community trends, challenges and opportunities with the goal of providing recommendations to ESA on how to maximise the benefits of CS within ESA activities. The project also addresses concrete scientific and societal problems through four use cases demonstration projects, targeted at key scientific and societal issues: pollution in metropolitan areas, land use, water management and snow coverage, and flood management and prevention. The outcome of the project will allow ESA to develop a strategy for exploitation of Crowdsourcing and for evolving Information and Communications Technology (ICT) capabilities in support of data exploitation, support to citizen life and educational activities. It will also allow validation of OS data via comparison and integration with crowd-sourced data.
SAMULET (Strategic Affordable Manufacturing in the UK through Leading Environmental Technologies) is a Rolls-Royce-led collaborative programme to accelerate the development of manufacturing and product technologies. It focuses on productivity and environmental improvements, including efficient advanced manufacturing processes and lower engine fuel consumption. Research focuses on improved turbomachinery, combustion and transmission systems and a broad range of existing and novel manufacturing processes.
The programme is closely linked to the UK advanced manufacturing research centres in Sheffield, Inchinnan and Ansty and number of the UK University Technology Centres. Other industrial collaborators include BAE Systems, GKN and three SMEs (Granta Design, BERU F1 and Tacit Connexions).
It is valued at up to £90 million over four years from 2009 and is receiving support of £28.5 million from the TSB and £11.5 million from the Engineering and Physical Sciences Research Council, with further support from several regional bodies.
Strategic Investment in Low-carbon Engine Technology (SILOET) programme will accelerate the development and introduction of low carbon aircraft engine technology. The results from this programme are expected to deliver a 2% improvement in engine fuel economy and enable delivery of the ACARE goals. The programme consists of 7 projects which will look at lightweight structures, high temperature materials and technology, lean burn systems, virtual engineering tools, and advanced components.
The BIG Energy Upgrade
The BIG Energy Upgrade
will see the University of Sheffield work alongside partners and disadvantaged communities to monitor the performance of the installed measures, look at behavioural issues linked with energy consumption, support the supply chain associated with the project and monitor energy consumption in selected households across Yorkshire and Humber.
The BIG Energy Upgrade project (a.k.a. Energy Innovation in Deprived Communities) is part financed by Yorkshire and Humber European Regional Development Fund Programme 2007 to 2013. The Department for Communities and Local Government is the managing authority for the European Regional Development Fund Programme, which is one of the funds established by the European Commission to help local areas stimulate their economic development by investing in projects which will support local business and create jobs.
RAnDMS will study, implement and evaluate Real-time Data and Visual Analytic techniques to enable emergency responders and government bodies, to monitor and make sense of local, regional and global events using web scale data from social and traditional media streams. The data gathering task will be defined as identifying, correlating, integrating and presenting data and information, in order to understand situations as they arise. Current technology does not provide efficient and effective solutions, as it mainly focuses on detecting trends in the use of keywords and tags.
Theoretical Psychology intervention to encourage healthy behaviour in young adults at critical transition stage between home and university. Working together with the Psychology department.
The SEALS Project
developed a reference infrastructure known as the SEALS Platform to facilitate the formal evaluation of semantic technologies. This allows both large-scale evaluation campaigns to be run (such as the International Evaluation Campaigns for Semantic Technologies) as well as ad-hoc evaluations by individuals or organizations.
help customers, designers and workers to deal with the ever increasing complexity and variety of modern products. Smart products leverage “proactive knowledge” to communicate and co-operate with humans, other products and the environment. The OAK team is focusing on knowledge management aspects of the project including capturing and processing knowledge. For example we are looking at extracting procedural knowledge from instructional texts to drive the user interaction and to populate ontologies. We are also extending a workflow editor to allow developers to edit and semantically annotate extracted workflows.
The main objective of WeKnowIt
was to develop novel techniques for exploiting multiple layers of intelligence from user-contributed content, which together constitute Collective Intelligence, a form of intelligence that emerges from the collaboration and competition among many individuals, and that seemingly has a mind of its own.
is an IP project which started in March 2006. X-Media is coordinated by our group. With a budget topping €13m, it is one of the largest projects funded in the area of IST knowledge and content technologies within Framework 6 of the European Union.
Archaeotools is a two year project to be cooperated between the University of Sheffield and the Archaeology Data Service, aimed at building an e-archaeology application to allow archaeologists to discover, share, and analyse datasets and legacy publications which have hitherto been very difficult to integrate into existing digital frameworks.
IPAS was a project on Distributed Products and Services funded by the DTI and coordinated by Rolls Royce . Participants are Rolls Royce, the Universities of Cambridge, Sheffield, Aberdeen and Southampton; Abiuri and Epistemics.
IPAS XWB: a 9 month project fully funded by Rolls-Royce plc. Goal of the project is to support knowledge management in the development of the Trent XWB engine. This is a follow-up of the IPAS project.
is a JISC project in collaboration with RBG Kew and the Swiss Institute of Bioinformatics that will develop a web portal and visualisation tools to support biologist in bringing together herbarium records, phylogenetic data and ecology data about grass species. The project is lead by Colin Osborne in Animal and Plant Sciences. The OAK Group is involved in requirements gathering and evaluation and our spin-out company K-now is building the portal.
With the coming changes to higher education funding it is critical that higher education bodies are able to effectively demonstrate that they are widening participation and efficiently recruiting students from across the country. Thus it is vital that the higher education bodies have accurate and usable information regarding the student population. Thus higher education bodies must increase their Business Intelligence with regard to understanding the student population.This project is about increasing the level of knowledge and understanding about our students through the use of linked data. Currently information in the university is heterogenously spread across a number of databases and resources – data is sparse and unconnected. Our proposal is that we can a) connect together these disparate data sources using linked data techniques and furthermore b) integrate this information with external information which we pull from various open data sources. In doing this we will increase business intelligence within the University and at the same timeOur aim is to produce a tool which will allow our stakeholders to gather together data of interest from both internal and external sources, suitably visualise this information and from these visualisations increase their level of understanding. We will develop this tool, release it to the stakeholder groups and revisiting it at later stages to measure the usefulness and effect on BI overall.
Kodak funded Cilla, a project to investigate and devise systems that enable users to retrieve personal and immediate community images using search and browse functionalities based on captured knowledge of the image content. A prerequisite to these activities is an understanding of the image, knowledge of the user, name, relations etc, and a method by which the user’s desire can be represented for search and ordering activities.
project investigates methods and techniques to create Linked Data describing people, research groups and publications within the Department of Computer Science based at the University of Sheffield.
The Web of Linked Data is now a widely used distributed source of information for applications and agents. It links together resources and entities by typing links using formal semantics.
Information within the department’s web site is provided within legacy HTML documents and RSS publication feeds. Such information must therefore be leveraged in a machine-readable form so that it can then be woven into the Web of Linked Data.
Lycos funded a project to investigate the current market for knowledge sharing platforms. Our research focuses on the integration of semantic technologies with the management of user generated knowledge, which will in turn generate new features and ideas for user generated knowledge management.
On the web, cultural heritage content is everywhere, in traditional environments such as libraries, museums, galleries and audiovisual archives, but also in popular magazines and newspapers, in multiple languages and multiple media. The aim of the MultiMATCH project is to enable users to explore and interact with online accessible cultural heritage content, across media types and languages boundaries.
was a project funded by the European Commission on the use of Adaptive Information Extraction for Knowledge Management and the Semantic Web. It is coordinated by us.
was a six-year project funded by EPSRC for research on advanced knowledge technologies.
was an EPSRC funded project on learning ontologies from documents.
SimMetrics is a Java & C# .NET library of Similarity Metrics, e.g. edit distance’s (Levenshtein, Gotoh, Smith-Waterman etc) also other measures, (e.g Soundex). All metrics return normalised measures as well as standard similarity algorithm output scores.
Citizen Observatories of Water Using Social and Physical Sensors, funded by the European Commission, €961k for Sheffield (€5.5m in total). Professor Ciravegna is the project director (2012-2016).