Completed Education & Skills Arts, Culture & Design

EnAKTing the Unbounded Data Web: Challenges in Web Science

In plain English

AI plain-English summary

The Web is about to shift from a library of documents to a vast, interconnected database of raw information—and this project will build the tools to navigate it. Today’s Web works well for finding pages, but poorly for pulling together scattered data about, say, a person, a scientific structure, or a financial transaction. This research tackles three fundamental problems: how to quickly build ontologies (structured frameworks) that harness large-scale user input, how to query an unbounded web of linked data, and how to visualise and explore that mass of information. The project tests its solutions in two real-world settings—public sector information and transport—to gather realistic requirements and understand the social factors that determine success. If it works, the result could be a Web that assembles and integrates content in a context-aware, focused way, quietly improving how infrastructure, supply chains, and public services share and use data. This is fundamental science: the immediate output is new knowledge and methods, not a product. But similar foundational work on the Semantic Web has already reshaped how data moves online.

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The EPSRC funded Advanced Knowledge Technologies Interdisciplinary Research Collaboration (AKT IRC) has been a significant success in terms of papers published, grants awarded, students trained, and international impact. The Review Panel rated the project as outstanding scoring 34 out of a maximum possible 35 on the seven review criteria used to assess the results of projects by the EPSRC. The purpose of this proposal is to take some of the most important results from AKT and organise a next stage of research. This in turn will serve as a precursor to a longer-term ambition; the establishment of Web Science as a discipline. This initiative we are undertaking with the Web's inventor Professor Sir Tim Berners-Lee and MIT. The development of new Semantic Web technologies (many developed and researched in the AKT IRC) points to a new generation of Web capability that can explore and query, assemble and integrate content in a context-aware, focused fashion. The basic idea is that we move from a document centric view of the Web to one in which data and information are the principle objects of interest. This data may relate to people, scientific structures, financial transactions or any domain that can be represented on the Web. With the emergence of a Web of data it is essential to address three key research problems; (1) how to build ontologies quickly that are capable of exploiting the potential of large-scale user participation, (2) how we query an unbounded web of linked data, (3) how to visualise, explore, browse and navigate this mass of data.The proposal is to undertake fundamental research in the areas 1-3 identified above. This fundamental research is supported via two application domains; one in the area of public sector information, a second in the domain of transport. The application domains will provide the context in which to gather realistic requirements, understand the social aspects that determine the success or otherwise of the systems constructed, test the adequacy of solutions, and showcase the promise of the results obtained in pursuing the research objectives outlined.

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Researchers

Mc Schraefel (Co-Investigator)Nicholas Gibbins (Co-Investigator)Nigel Shadbolt (Principal Investigator)Timothy Berners-Lee (Co-Investigator)Wendy Hall (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

Networks for Web Science
Doctoral Training Centre in Web Science
UK Museums and the Semantic Web
Supporting Exploratory Search via the Semantic Web
Big, Open Data: Mining and Synthesis (BODMAS)

Original classification

Research Grant

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