The University of Southampton

Date:
2014-2017
Theme:
Web Observatory
Funding:
EU

VOICE is a virtual business incubator for startups. Its uniqueness is that it is globally accessible around the clock, open to anyone with an interesting idea, unlimited in space, open and practically boundless in providing services, information and practical guidance, in contrast to the traditional – physical – incubators.

Primary investigators

Secondary investigator

  • xw4g08

Associated research group

  • Web and Internet Science
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Internet-science.eu
Date:
2012-2015
Theme:
Internet Science
Funding:
EUFP7

The Network of Excellence in Internet Science aims to strengthen scientific and technological excellence by developing an integrated and interdisciplinary scientific understanding of Internet networks and their co-evolution with society, and also by addressing the fragmentation of European research in this area. Its main objective is to enable an open and productive dialogue between all disciplines which study Internet systems from any technological or humanistic perspective, and which in turn are being transformed by continuous advances in Internet functionality. The network brings together over thirty research institutions across Europe that are focusing on network engineering, computation, complexity, networking, security, mathematics, physics, sociology, game theory, economics, political sciences, humanities, and law, as well as other relevant social and life sciences. The network's main deliverable will be a durable shaping and structuring of the way that this research is carried out, by gathering together a critical mass of resources, gathering the expertise needed to provide European leadership in this area, and by spreading excellence beyond the partnership. The network is funded under the European Commission's Seventh Framework Programme: Information and Communication Technologies.

Primary investigators

Secondary investigator

  • xw4g08

Associated research groups

  • IT Innovation Centre
  • Web and Internet Science
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Logo
Date:
2014-2017
Theme:
Accessibility
Funding:
(erasmus+)

MOOCAP - Massive Open Online Course Accessibility Partnership funded as an Erasmus+ project. The goal of this project is to provide education on accessible design in ICT. Several aspects will be covered including how to develop accessible text and media for web sites, documents, mobile apps, and daily living aids that use technology from ATMs to washing machines). There are several partners across Europe, participating in the project, taking different roles, while providing a joint introductory set of activities and then separate specialist activities over five weeks.

Primary investigators

Secondary investigator

Partners

  • Høgskolen i Oslo og Akershus
  • HdM Stuttgart
  • Université Paris 8 Vincennes Saint-Denis
  • Dublin Institute of Technology
  • Technische Universität Dresden
  • Johannes Kepler Universität Linz
  • Πανεπιστήμιο Αιγαίου (University of the Aegean)

Associated research group

  • Web and Internet Science
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Date:
2014-2015
Theme:
Multimedia
Funding:
_other (WSI)

This project will produce a pilot framework for accessible annotation of streamed video and other multimedia content and evaluate its impact and potential for enrichment of research and learning resources.

Primary investigator

Secondary investigators

  • Graeme Earl
  • Adam Procter

Associated research group

  • Web and Internet Science
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Date:
2014-2016
Theme:
Accessibility
Funding:
_other (BIS)

STEMReader is a tool for reading aloud mathematical equations using text-to-speech

Primary investigators

Associated research group

  • Web and Internet Science
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Date:
2007-2008

This is a test project

Associated research group

  • Web and Internet Science
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Date:
2014-2017
Themes:
Channel coding, Multiple Access, Modulation and Transceivers
Funding:
EPSRC

According to Moore's law, the number of transistors on a micro-chip doubles every two years. Hence, the transistor size is expected to approach atomic scale in the near future due to our quest for miniaturization and more processing power. However, atomic level behaviour is governed by the laws of quantum physics, which are significantly different from those of classical physics. More explicitly, the inherent parallelism associated with quantum entities allows a quantum computer to carry out operations in parallel, unlike conventional computers. More significantly, quantum computers are capable of solving challenging optimization problems in a fraction of the time required by a conventional computer. However, the major impediment in the practical realization of quantum computers is the sensitivity of the quantum states, which collapse when they interact with their environment. Hence, powerful Quantum Error Correction (QEC) codes are needed for protecting the fragile quantum states from undesired influences and for facilitating the robust implementation of quantum computers. The inherent parallel processing capability of quantum computers will also be exploited to dramatically reduce the detection complexity in future generation communications systems.

In this work, we aim for jointly designing and ameliorating classical and quantum algorithms to support each other in creating powerful communications systems. More explicitly, the inherent parallelism of quantum computing will be exploited for mitigating the high complexity of classical detectors. Then, near-capacity QEC codes will be designed by appropriately adapting algorithms and design techniques used in classical Forward Error Correction (FEC) codes. Finally, cooperative communications involving both the classical and quantum domains will be conceived. The implementation of a quantum computer purely based on quantum-domain hardware and software is still an open challenge. However, a classical computer employing some quantum chips for achieving efficient parallel detection/processing may be expected to be implemented soon. This project is expected to produce a 'quantum-leap' towards the next-generation Internet, involving both classical and quantum information processing, for providing reliable and secure communications networks as well as affordable detection complexity.

Primary investigator

Secondary investigators

Partners

  • Alcatel Lucent
  • Fujitsu
  • Hitachi

Associated research group

  • Communications, Signal Processing and Control
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Date:
2013-2017
Themes:
Web of Data, Semantic Web
Funding:
EUFP7

Semantic data management refers to a range of techniques for the manipulation and usage of data based on its meaning. Semantically enabled linked and open data have been published at an increasing pace in recent years, and this technology has been adopted by major industrial players, including Google, Yahoo, Oracle, Talis and IBM. But to reach their full potential of becoming a transformative technology enabling a data-driven economy, there are important research challenges related to semantic data, particularly regarding maturity, dynamicity and the ability to process efficiently huge amounts of interconnected semantic data. SemData brings together some of the internationally leading research centres in the area of managing semantic data to address these challenges.

Primary investigator

Partners

  • Universidad Politecnica de Madrid
  • University of Huddersfield
  • Karlsruhe Institute of Technology

Associated research group

  • Web and Internet Science
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