1,721,092 research outputs found
Put in your postcode, out comes the data
No full textArticle describes the UK Open Government Data project which the two authors have been leading and the planned launch of data.gov.uk a single point of access for all public non-personal government datasets. It outlines the benefits that will flow from more accessible and open data. The article first appeared in The Times 18th Nov 2009 http://www.thetimes.co.uk/tto/law/columnists/article2049543.ec
There's gold to be mined from all our data
No full textThe article on the economic potential of Open Data first appeared in The Times 31st Dec 2011 http://www.thetimes.co.uk/tto/opinion/columnists/article3272618.ec
Journal publishing and author self-archiving: Peaceful Co-Existence and Fruitful Collaboration
No full textThe UK Research Funding Councils (RCUK) have proposed that all RCUK fundees should self-archive on the web, free for all, their own final drafts of all journal articles reporting their RCUK-funded research, in order to maximise their usage and impact. ALPSP (a learned publishers' association) now seeks to delay and block the RCUK proposal, arguing that it will ruin journals. All objective evidence from the past decade and a half of self-archiving, however, shows that self-archiving can and does co-exist peacefully with journals while greatly enhancing both author/article and journal impact, to the benefit of both. Journal publishers should not be trying to delay and block self-archiving policy; they should be collaborating with the research community on ways to share its vast benefits
Linked Data - the story so far
Full text linkThe term “Linked Data” refers to a set of best practices for publishing and connecting structured data on the Web. These best practices have been adopted by an increasing number of data providers over the last three years, leading to the creation of a global data space containing billions of assertions— the Web of Data. In this article, the authors present the concept and technical principles of Linked Data, and situate these within the broader context of related technological developments. They describe progress to date in publishing Linked Data on the Web, review applications that have been developed to exploit the Web of Data, and map out a research agenda for the Linked Data community as it moves forward
The Semantic Web Revisited
No full textThe original Scientific American article on the Semantic Web appeared in 2001. It described the evolution of a Web that consisted largely of documents for humans to read to one that included data and information for computers to manipulate. The Semantic Web is a Web of actionable information--information derived from data through a semantic theory for interpreting the symbols.This simple idea, however, remains largely unrealized. Shopbots and auction bots abound on the Web, but these are essentially handcrafted for particular tasks; they have little ability to interact with heterogeneous data and information types. Because we haven't yet delivered large-scale, agent-based mediation, some commentators argue that the Semantic Web has failed to deliver. We argue that agents can only flourish when standards are well established and that the Web standards for expressing shared meaning have progressed steadily over the past five years. Furthermore, we see the use of ontologies in the e-science community presaging ultimate success for the Semantic Web--just as the use of HTTP within the CERN particle physics community led to the revolutionary success of the original Web. This article is part of a special issue on the Future of AI
The read-write Linked Data Web
No full textThis paper discusses issues that will affect the future development of the Web, either increasing its power and utility, or alternatively suppressing its development. It argues for the importance of the continued development of the Linked Data Web, and describes the use of linked open data as an important component of that. Second, the paper defends the Web as a read–write medium, and goes on to consider how the read–write Linked Data Web could be achieved
From the Semantic Web to social machines: a research challenge for AI on the World Wide Web
No full textThe advent of social computing on the Web has led to a new generation of Web applications that are powerful and world-changing. However, we argue that we are just at the beginning of this age of “social machines” and that their continued evolution and growth requires the cooperation of Web and AI researchers. In this paper, we show how the growing Semantic Web provides necessary support for these technologies, outline the challenges we see in bringing the technology to the next level, and propose some starting places for the research
Open Letter to Research Councils UK: Rebuttal of ALPSP Critique
No full textThe Research Councils of the UK (RCUK) propose to require that the authors of all journal articles resulting from RCUK-funded research must make them openly accessible by self-archiving them on the web in order maximise their usage and impact. ALPSP (Association of Learned and Professional Society Publishers) claim that this will have a negative effect on journals, but the only evidence they provide fails to support their claim and all existing evidence is to the contrary: Journal publication coexists peacefully with author self-archiving, even when it reaches 100%, with both researchers and their journals benefitting from the resulting enhanced research usage and impact. The research journal publishing community should collaborate in sharing the benefits of self-archiving with the research community, rather than trying to delay and block them
Web Science emerges
No full textThe relentless rise in Web pages and links is creating emergent properties, from social networks to virtual identity theft, that are transforming society. A new discipline, Web Science, aims to discover how Web traits arise and how they can be harnessed or held in check to benefit society. Important advances are beginning to be made; more work can solve major issues such as securing privacy and conveying trust
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