Overview of all keyword tags in articles

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This page provides an overview of 7 tags, ordered by trending factor. Column headings allow re-sorting by other criteria. In the expanding tab below you can adjust filters to display sub-sets of tags and narrow the focus to specific items of interest (see FAQs on filtering for usage tips). Select this link to remove all filters.

Term Brief description Charts


GILEAD is a joint project between Information Systems Services (ISS), the University Library and the Faculty of Biological Sciences at the University of Leeds. The University is currently engaged in a major initiative which aims to provide simplified or single sign-on capability to a wide range of internal and external information systems. As part of this endeavour the University aims to transition away from a number of existing access management solutions. The University resolved 18 months ago to rationalise the number of directory services on campus and has now adopted Microsoft's Active Directory (AD) as an institution-wide LDAP service. For the first time we now have a directory which contains all students and staff and AD is now being used to authenticate access to a wide range of both Microsoft and non-Microsoft systems. The University's aim is to reduce the number of username & password databases it has to populate and manage and the adoption of Shibboleth has been identified as an important component in our drive to simplify access to a number of commonly used teaching and research-orientated resources. The main objectives of the proposed project are to: as a prototype, use Guanxi derived Shibboleth Origins to test federation arrangements between Leeds and Manchester Universities; modify a number of existing resources to act as Shibboleth Targets; as the ultimate goal, move to using a University of Leeds institutional Shibboleth Origin, testing this with different attribute sources. The project will run from March 2005 - March 2006. It is anticipated that the main objectives of authenticating access to our VLE via our Shibboleth Origin and use of the Athens-Shibboleth Gateway Service will be operational in time for the start of the 2005/06 academic year. Project start date: 2005-04-01. Project end date: 2006-03-31. (Excerpt from <a href="http://www.leeds.ac.uk/iss/projects/gilead/">this source</a>)

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university of reading

The University of Reading is a university in the English town of Reading, Berkshire. The University was established in 1892 as University College, Reading and received its Royal Charter in 1926. It is based on several campuses in, and around, the town of Reading. The University has a long tradition of research, education and training at a local, national and international level. It offers traditional degrees and also less usual and other vocationally relevant ones. It was awarded the Queen's Anniversary Prize for Higher and Further Education in 1998, 2005 and again in 2009. It is one of the ten most research intensive universities in the UK and ranked in the top 200 universities in the world by QS. (Excerpt from <a href="http://en.wikipedia.org/wiki/University_of_Reading">Wikipedia article: University of Reading</a>)

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Encoded Archival Description is an XML standard for encoding archival finding aids, maintained by the Library of Congress in partnership with the Society of American Archivists. (Excerpt from <a href="http://en.wikipedia.org/wiki/Encoded_Archival_Description">Wikipedia article: EAD</a>)

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ABBYY FineReader is an optical character recognition (OCR) application developed by ABBYY. FineReader was designed as a professional-level application for converting scanned images, photographs of documents and PDF files into editable and searchable formats such as Microsoft Word, Microsoft Excel, Microsoft Powerpoint, Rich Text Format, HTML, PDF/A, searchable PDF, CSV and text files. ABBYY FineReader is in competition with Nuance OmniPage as well as free software for optical character recognition. (Excerpt from <a href="http://en.wikipedia.org/wiki/FineReader">Wikipedia article: FineReader</a>)

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machine-readable data

Machine-readable data is data (or metadata) which is in a format that can be understood by a computer. There are two types; human-readable data that is marked up so that it can also be read by machines (examples; microformats, RDFa) or data file formats intended principally for machines (RDF, XML, JSON). (Excerpt from <a href="http://en.wikipedia.org/wiki/Machine-readable_data">Wikipedia article: Machine-readable data</a>)

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medical subject headings

Medical Subject Headings (MeSH) is a comprehensive controlled vocabulary for the purpose of indexing journal articles and books in the life sciences; it can also serve as a thesaurus that facilitates searching. Created and updated by the United States National Library of Medicine (NLM), it is used by the MEDLINE/PubMed article database and by NLM's catalog of book holdings. MeSH can be browsed and downloaded free of charge on the Internet through PubMed. The yearly printed version was discontinued in 2007 and MeSH is now available online only. Originally in English, MeSH has been translated into numerous other languages and allows retrieval of documents from different languages. (Excerpt from <a href="http://en.wikipedia.org/wiki/Medical_Subject_Headings">Wikipedia article: Medical Subject Headings (MeSH)</a>)

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subject heading

An index term, subject term, subject heading, or descriptor, in information retrieval, is a term that captures the essence of the topic of a document. Index terms make up a controlled vocabulary for use in bibliographic records. They are an integral part of bibliographic control, which is the function by which libraries collect, organize and disseminate documents. They are used as keywords to retrieve documents in an information system, for instance, a catalog or a search engine. A popular form of keywords on the web are tags which are directly visible and can be assigned by non-experts also. Index terms can consist of a word, phrase, or alphanumerical term. They are created by analyzing the document either manually with subject indexing or automatically with automatic indexing or more sophisticated methods of keyword extraction. Index terms can either come from a controlled vocabulary or be freely assigned. (Excerpt from <a href="http://en.wikipedia.org/wiki/Subject_heading">Wikipedia article: subject heading</a>)

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