The University of Southampton

Date:
2006-2009
Themes:
Knowledge Technologies, Grid and Distributed Computing, Agent Based Computing
Funding:
EU (FP6-026460)

Significant initiatives such as WSMO, METEOR-S, ODE-SWS, SWSI, and others are creating the engineering platforms for next-generation service-based component federation and service-based application integration. Trial testbeds in large-scale commercial settings are on-going, and progress is promising for the short-to-medium-term uptake of this new technology in enterprise applications development.

The goal of the TAO project is to define a low-cost route to transitioning legacy systems to the open semantic Service-Oriented Architectures (SOAs), which will enable semantic interoperability between heterogeneous data resources and distributed applications. This low-cost migration path will be accessible to both SMEs (which are cost sensitive) and large enterprises (with huge investments in complex and critical IS).

TAO is motivated by the realisation that the time is now right for the creation of an open source infrastructure to aid transitioning of legacy applications, via ontologies and refactoring into Semantic Web Services (SWSs), to SOAs. This will enable the multitude of companies to take-up these new developments without having to re-implement their applications. In this way TAO will widen the uptake of B2B and B2C eCommerce models, which:

  • are scaleable: services can be distributed on many machines, with no single point of failure;
  • have component-based architectures: that can have alternative implementation and tuning to support different service levels for different users in various market sectors;
  • encompass heterogeneous knowledge: consistent access across media types, associated semantic annotations (metadata), databases, and ontologies;
  • support multi-purpose access: for humans, services and Grid applications;
  • are supported by a development and integration toolset.

TAO will tackle several major bottlenecks of knowledge technologies in the areas of semi-automatic creation of ontologies; automated methods for metadata creation and augmentation of legacy content; and distributed heterogeneous repositories. The project will build on and enhance research and technology from diverse areas into an infrastructure for transitioning legacy systems.

Primary investigator

  • trp

Secondary investigators

Partners

  • University of Sheffield
  • Atos Origin
  • Jožef Stefan Institute
  • Mondeca
  • Ontotext
  • Dassault Aviation

Associated research group

  • Intelligence, Agents, Multimedia Group
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A 3D view of the simulation environment
Date:
2006-2010
Themes:
Agent Based Computing, Decentralised Information Systems, Machine Learning

RoboCupRescue Simulation Project is an open resource of research results. Various people worldwide participate in this simulator for research, entertainment, training, or education via the Internet. A diverse spectrum of possibilities of this technology will contribute to the creation of the safer social system in the future.

Here at Southampton, we are developing new agent strategies and testbeds to allow intelligent agents to coordinate in a robust fashion in environments that are uncertain and dynamic. The RoboCup Rescue Project is mainly driven as a sub-project of the ALADDIN Project.

Primary investigators

Secondary investigators

  • iv
  • rkd
  • mhaw05r
  • nnc
  • gc2
  • saw06r
  • rck05r
  • pv
  • tr
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Winners of the ART Competition. From left (Nick Jennings, Jigar Patel, Luke Teacy, Mike Luck, Dong Huynh, Raj Dash)
Date:
2006-2008
Themes:
Trust and Provenance, E-Business Technologies

The essential problem posed by this competition is one that we all face in daily life. That is, how do we make good decisions in the face of uncertainty? Part of the answer to that question lies in making good assumptions. We are use to thinking of assumptions as bad things because we tend only to notice them when they are exposed in a negative light. However, that fact remains that, without taking risks on our assumptions, we would never achieve anything.

With artificial intelligence, there is no exception. Many of the real life problems that we target here at Southampton require computers to make decisions, despite not having all the relevant information available. The type of problem that inspired this competition is just one example of this, in which our agent had to identify which of its competitors provided reliable information, decide how best to use that information, and how best to spend its income to make a profit. With this in mind, our starting point had to be good assumptions about our competitors' strategies, based on careful consideration of the rules of the game. The rest of the work involved churning those assumptions though the mathematical machinery of statistics, and implementing the solutions we got out.

Primary investigators

Associated research group

  • Intelligence, Agents, Multimedia Group
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bundle of single wall carbon nanotubes by Ge catalyst
Date:
2006-2010
Themes:
Nanoelectronics, Photovoltaics and Energy
Funding:
EPSRC ("Metal-Free Carbon nanotube Growth for nanoelectronics applications")

A metal catalyst free growth method of carbon nanotubes (CNTs) has been developed using chemical vapor deposition (CVD) of CNTs on carbon implanted SiGe islands on Si substrates. From SEM and Raman measurements, the fabricated CNTs are identified as single wall CNTs (SWNTs) with diameter ranging from 1.2 to 1.6 nm. Essential parts of the substrate preparation after CVD SiGe growth and carbon implant are a chemical oxidization by hydrogen peroxide solution and a heat treatment at 1000°C prior to CNT growth. We believe that these processes enhance surface decomposition and assist the formation of carbon clusters, which play a role in seeding CNT growth. The growth technique is a practical method of growing metal free CNTs, opening up the prospect of merging CNT devices into silicon very-large-scale-integration (VLSI) technology.

Primary investigators

Secondary investigators

  • mk09v
  • Bourdakos Konstantinos (Physics)

Partner

  • University of Oxford

Associated research groups

  • Nano Research Group
  • Southampton Nanofabrication Centre
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Date:
2006-2008
Themes:
Knowledge Technologies, Dependable Systems, Web Science, Semantic Web
Funding:
EU (026764)

ReSIST is an NoE that addresses the strategic objective “Towards a global dependability and security framework� of the Work Programme, and responds to the stated “need for resilience, self-healing, dynamic content and volatile environments�.

It will integrate leading researchers active in the multidisciplinary domains of Dependability, Security, and Human Factors, in order that Europe will have a well-focused coherent set of research activities aimed at ensuring that future “ubiquitous computing systems�, the immense systems of ever-evolving networks of computers and mobile devices which are needed to support and provide Ambient Intelligence (AmI), have the necessary resilience and survivability, despite any residual development and physical faults, interaction mistakes, or malicious attacks and disruptions.

The objectives of the Network are:

  1. Integration of teams of researchers so that the fundamental topics concerning scalably resilient ubiquitous systems are addressed by a critical mass of co-operative, multi-disciplinary research.
  2. Identification, in an international context, of the key research directions (both technical and socio-technical) induced on the supporting ubiquitous systems by the requirement for trust and confidence in AmI.
  3. Production of significant research results (concepts, models, policies, algorithms, mechanisms) that pave the way for scalably resilient ubiquitous systems.
  4. Promotion and propagation of a resilience culture in university curricula and in engineering best practices.

Primary investigators

Secondary investigators

Partners

  • Budapest UTE (HG)
  • City U. (UK)
  • TU Darmstadt (DE)
  • Deep Blue Srl (IT)
  • France Telecom R&D (FR)
  • IBM Research GmbH (CH)
  • Institut Eurecom (FR)
  • IRISA (FR)
  • IRIT (FR)
  • LAAS-CNRS (FR)
  • Lisbon U. (PT)
  • Newcastle upon Tyne U. (UK)
  • Pisa U. (IT)
  • Qinetiq (UK)
  • Roma U. ‘La Sapienza’ (IT)
  • Ulm U. (DE)
  • Vytautas Magnus U. (LT)

Associated research groups

  • Dependable Systems & Software Engineering
  • Intelligence, Agents, Multimedia Group
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2D cable slice image obtained from FEA analysis
Date:
2005-2012
Themes:
High Voltage Engineering, Environmental modelling
Funding:
National Grid plc

This project aims to validate or improve existing cable ratings methods for high power cable transmission circuits used on the National Grid. FEA models are being developed to deal with a range of circuit configurations to solve for complex circuit designs and geometries. Having benchmarked existing methods for buried cable circuits, both with and without forced cooling, the project investigated the possible thermal constraints posed by cable joints. The next phase of work will involve thermal modelling of cable crossings.

Primary investigators

Secondary investigator

  • zh2g09

Partner

  • National Grid

Associated research groups

  • Electrical Power Engineering
  • Electronics and Electrical Engineering
  • Electronics and Electrical Engineering
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Date:
2006-2006
Themes:
ELearning, Platforms and Tools, Web Science, Decentralised Information Systems
Funding:
JISC

In the recent JISC/CETIS conference it was recommended that the community needed to ‘kick start’ the use of the IMS Question and Test Interoperability version 2.0 specifications. At this meeting it was felt that in order to achieve this there needed to be a robust set of tools and services that conformed to the QTIv2 specification. The R2Q2 project will concentrate on refactoring the QTI Specification to provide a service that moves towards a reliable and definitive QTI v2 render & response processing engine.

Primary investigators

Secondary investigator

Partner

  • Hull University

Associated research groups

  • Electronic and Software Systems
  • Learning Societies Lab
  • Web and Internet Science
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Date:
2005-2008
Themes:
Image Processing, Multimedia
Funding:
European Commission

FingArtPrint is a European project to build a system to take "fingerprints" of works of art so that they can identified. A combination of 3D surface scanning and multispectral imaging combines to make a unique data record of the object which can be compared to check its authenticity.

Primary investigator

Secondary investigator

  • sg02r

Partners

  • ICN Amsterdam
  • NanoFocus
  • ELDIM
  • University of Paris
  • Ormilia

Associated research group

  • Intelligence, Agents, Multimedia Group
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Date:
2005-2011
Themes:
Agent Based Computing, Disaster Management, Machine Learning, Decentralised Architectures, Decentralised Information Systems, E-Business Technologies, Intelligent Systems and Machine Learning, Wireless Sensing and Sensor Networks, Artificial Intelligence
Funding:
EPSRC, BAE Systems

This project aims to develop techniques, methods and architectures for modelling, designing and building decentralised systems that can bring together information from a variety of heterogeneous sources in order to take informed actions. To do this, the project needs to take a total systems view on information and knowledge fusion and to consider the feedback that exists between sensing, decision making and acting in such systems. Moreover, it must be able to achieve these objectives in environments in which: control is distributed; uncertainty, ambiguity, imprecision and bias are endemic; multiple stakeholders with different aims and objectives are present; and resources are limited and continually vary during the system’s operation.

More specifically, the main aims of the project are:

  • To devise techniques that enable an actor to effectively balance acting and information gathering in dynamic, uncertain, multi-actor environments.
  • To devise techniques that enable an actor to fuse, in a decentralised manner, inter-related information that is uncertain, incomplete, imprecise and ambiguous.
  • To develop machine learning algorithms that are efficient and effective in dynamic, multi-actor
    environments that are uncertain and incomplete.
  • To develop coordination mechanisms that enable collectives to plan and act collaboratively in order to achieve common goals.
  • To develop methods for modelling and predicting the system behaviour that will ensue from specifications of the local behaviour of the individual actors.
  • To develop mechanisms that ensure desirable overall properties emerge based on local actions and views.
  • To develop decentralised system architectures that can operate effectively in uncertain and dynamic environments and that are robust, scaleable and flexible in their operation.

To ensure the specific methods and techniques developed in the research fit together to give a coherent whole, the project will develop a number of software demonstrations. These will be in the broad area of disaster management.

Primary investigators

Secondary investigators

Partner

  • BAE Systems

Associated research groups

  • Intelligence, Agents, Multimedia Group
  • Agents, Interaction and Complexity
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mspace mobile running on a pda
Date:
2005-2010
Themes:
Human Computer Interaction, Knowledge Technologies, Web Science

mSpace Mobile is a combined interaction and systems design project to integrate multiple streams of information into one interface to support exploratory search while on the move.

Primary investigator

Secondary investigators

  • ar5
  • mw1
  • das05r

Associated research group

  • Intelligence, Agents, Multimedia Group
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