4 resultados para Information Search and Retrieval

em JISC Information Environment Repository


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The 10th annual Jisc, GuildHE and Universities UK information legislation and management survey shows a rise in the number of Freedom of Information (FOI) requests for the tenth consecutive year. In contrast Environmental Information Regulations (EIR) requests appear to have levelled off to a fairly consistent rate, while Data Protection Act (DPA) requests have declined back to levels last seen in 2008. The average monthly number of FOI requests received by UK universities has risen by 19% since 2013 and by almost seven times over the last decade since our survey began. The average across the 46 participating institutions was 219 FOI requests with the highest of 454 reported by one participant.

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The 10th annual Jisc, GuildHE and Universities UK information legislation and management survey shows a rise in the number of Freedom of Information (FOI) requests for the tenth consecutive year. In contrast Environmental Information Regulations (EIR) requests appear to have levelled off to a fairly consistent rate, while Data Protection Act (DPA) requests have declined back to levels last seen in 2008. The average monthly number of FOI requests received by UK universities has risen by 19% since 2013 and by almost seven times over the last decade since our survey began. The average across the 47 participating institutions was 218 FOI requests with the highest of 454 reported by one participant.

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The DADAISM project brings together researchers from the diverse fields of archaeology, human computer interaction, image processing, image search and retrieval, and text mining to create a rich interactive system to address the problems of researchers finding images relevant to their research. In the age of digital photography, thousands of images are taken of archaeological artefacts. These images could help archaeologists enormously in their tasks of classification and identification if they could be related to one another effectively. They would yield many new insights on a range of archaeological problems. However, these images are currently greatly underutilized for two key reasons. Firstly, the current paradigm for interaction with image collections is basic keyword search or, at best, simple faceted search. Secondly, even if these interactions are possible, the metadata related to the majority of images of archaeological artefacts is scarce in information relating to the content of the image and the nature of the artefact, and is time intensive to enter manually. DADAISM will transform the way in which archaeologists interact with online image collections. It will deploy user-centred design methodologies to create an interactive system that goes well beyond current systems for working with images, and will support archaeologists’ tasks of finding, organising, relating and labelling images as well as other relevant sources of information such as grey literature documents.