Units

Each unit represents a necessary core competency for realising DERI’s mission and its work with its industrial partners. Each unit specialises in a particular research discipline that has relevance for realising the overall CSET goals.

DERI Applied Innovations (DAI) works with corporate enterprises to create advanced and innovative applications using DERI technology combined with new research into interfaces, applications, and system implementation.

Contact

This is the home of the Bioinformatics and Systems Biology Unit at DERI. Our mission is to apply semantic web technologies for improving, and enabling, discovery in Life Sciences. 

Contact

The requirements to analyse and understand the inner workings and underlying fundamental concepts of the Web along with the elevated scalability requirements for the development of new Web infrastructures have demonstrated the necessity of Data Intensive Supercomputing (DISC) infrastructures to support researchers and developers.

Contact

DERI Digital Humanities and Journalism work group is a multidisciplinary effort aiming to bundle research and development activities around news and journalism, media, digital humanities and social sciences with social media and semantic web technologies, which are DERI’s core strengths.

Contact

Today’s enterprise is increasingly dependent upon content bundling to support business processes, product offerings, services and decision making. There has been explosive growth in the percentage of unstructured content (e.g., scanned documents, business reports, email) that enterprise information systems are expected to deal with.

Government technology ecosystems around the world are continually evolving to meet emergent requirements for smarter governments that are more connected, agile, open and capable of co-delivering highly personalised services through collaborations with citizens and businesses. The unit aims to play a leading role in research and policy studies on how governments can effectively leverage semantic web and linked data technologies in their transformation programmes.

Contact

Green and Sustainable IT contributing to building an ICT-powered greener future by developing software intensive systems that have a direct impact on sustainability to empower organizations to achieve their green vision.

Within healthcare there are three layers which form the integral process of delivering care to patients, also known as the "bench-to-bedside" process of drug delivery. At the bottom layer we have fundamental research into Life Sciences which researches the impact, at molecular level, of diseases to the body. Drugs are then developed which are brought to clinical trial resulting in a discipline known as translational medicine where the impact of the drug is determined and fed back into the research process. Clinical practice involves the treatment of the patient by a clinician.

Contact

The low user entry barrier of the Web has resulted in massive amounts of weakly structured data describing objects, concepts, user interests and communities. The goal of this work programme is to develop techniques that exploit this information, providing a means for its reuse and understanding of the dynamics underlying its production.

Contact

The Semantic Web promises better information organisation and selective access, and standard means for formulating and distributing metadata and ontologies. Collaborative software is software designed to help people involved in a common task achieve their goals. The objective is to understand and to support the way people work individually and in groups.

Linked Data Research Centre

The Linked Data Research Centre (LiDRC) is appointed to drive and lead the linked data research and development. It is organised into four research themes:

  1. Publishing focusing on the creation, interlinking and deployment of linked data
  2. Discovery is about finding and using linked data
  3. Application Domains of linked data, from specific content domains to building applications on top of linked data
  4. Streamed Linked Data researches news feeds, microblogging, sensor data

Additionally we provide services such as tutorials and infrastructure.

The DERI Unit for Natural Language Processing (UNLP) has a focus on applied research in ontology-based information extraction, semantic-level text mining and the use of linguistic and semantic methods in information retrieval. In our research projects we develop methods for the efficient application of NLP tools in combination with domain semantics as specified in ontologies, thesauri and other knowledge organisation systems for real-life use cases, such as:

Contact

The goal of this work programme is to find the right trade-off between expressive knowledge representation and efficient, scalable reasoning and querying techniques in the open, distributed environment of the Semantic Web.

The Internet in many aspects is a reflection of human society. Thus using the internet opens up not only exciting opportunities, but also risks.

The transition of the Web to Network of Knowledge and the introduction of new technologies such as Linked Data provides new ways to counter those risks, but may also create threats.

Contact

Sensor Middleware Unit (USM) - We work on enabling Semantic Reality by means of very large infrastructures integration of the physical world and computers on a global scale (virtual world) that facilitates the information-driven real-time.
 At USM we look at the engineering side and deploying of software systems in a large degree of self-organization and automation capabilities building into the software systems and its constituents, enabling simple deployment (plug-and-play), dynamic (re-) configuration, flexible component and information integration, and tailored informat

Service Oriented Architectures Unit (SOA) - for the last decade, there have been active trends of giving more power to end-users and domain experts for creating and manipulating digital content. In USOA, we share this vision of enabling end-users to access and leverage software and underlying layers capabilities.

Social software allows people to connect, communicate or collaborate by use of a computer network resulting in shared, interactive spaces creating new methods for connecting people and the information that they have created. Common examples of social software systems include discussion forums, blogs, wikis and online social networks. By utilising Semantic Web technologies in social software systems, we can create new methods for connecting people to other people and also to the information that they have created.

Contact