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  • × author_ss:"Pollitt, A.S."
  1. Pollitt, A.S.; Ellis, G.P.; Smith, M.P.; Gregory, M.R.; Li, C.S.; Zangenberg, H.: ¬A common query interface for multilingual document retrieval from databases of the European Community Institutions (1993) 0.04 
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    Abstract
    Presents EuroMenUSE, a PC-based front-end system developed to improve access to EPOQUE, the major document database of the European Parliament. EuroMenUSEe is an exemplar and the first commercial product to result from the application of the Multilingual MenUSE software shell; in this system it uses the EUROVOC thesaurus. This Common Query interface replaces the Common command Language and provides a more effectve way for end-users to access document databases
  2. Pollitt, A.S.; Ellis, G.: Multilingual access to document databases (1993) 0.03 
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    Abstract
    This paper examines the reasons why approaches to facilitate document retrieval which apply AI (Artificial Intelligence) or Expert Systems techniques, relying on so-called "natural language" query statements from the end-user will result in sub-optimal solutions. It does so by reflecting on the nature of language and the fundamental problems in document retrieval. Support is given to the work of thesaurus builders and indexers with illustrations of how their work may be utilised in a generally applicable computer-based document retrieval system using Multilingual MenUSE software. The EuroMenUSE interface providing multilingual document access to EPOQUE, the European Parliament's Online Query System is described.
  3. Pollitt, A.S.; Smith, M.P.; Treglown, M.; Braekevelt, P.: View-based searching systems : progress towards effective disintermediation (1996) 0.03 
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    Abstract
    Presents the background and reports progress made in the development of 2 view-based searching systems - HIBROWSE and EMBASE, searching Europe's most important biomedical bibliographic databases, and HIBROWSE EPOQUE, improving access to the european Parliament's Online Query System
  4. Pollitt, A.S.: HIBROWSE: adding the power of relational databases to the traditional IR architecture : the future of graphic user interfaces (1994) 0.03 
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    Abstract
    Describes the coming together of 2 independent user interface softwares for improving access to databases: MenUSE (Menu-based User Search Engine) and HIBROWSE (High Resolution Interface for Database Specific BROWsing and SEarching). MenUSE was developed for searching bibliographic databases whilst HIBROWSE is a front end for searching information stored on structured relational database management systems. Combining these 2 approaches affords users much greater access capabilities than is possible using traditional information retrieval systems. Describes the power of HIBROWSE in the context of EPOQUE (the European Parliament Online QUEry system) and the INSPEC database
  5. Pollitt, A.S.; Ellis, G.P.; Smith, M.P.; Li, C.S.: HIBROWSE: adding the power of relational databases to the traditional IR architecture : the future for Graphic User Interfaces (1994) 0.03 
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    Abstract
    This paper describes the coming together of two independent programmes developing interfaces which improves access to databases. MenUSE - Menu-based User Search Engine - has been developed to search bibliographic databases whilst HIBROWSE - High Resolution Interface for Database Specific BROWsing and SEarching - is a front-end for searching information stored on structured relational database management systems. Combining the 2 approaches affords the user much greater access capabilities than is possible using traditional retrieval systems. The implications of this are explored in the context of EPOQUE (the European Parliament Online QUEry system) and INSPEC
  6. Smith, M.P.; Pollitt, A.S.: Ranking and relevance feedback extensions to a view-based searching system (1995) 0.02 
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    Abstract
    The University of Huddersfield, UK, is researching ways of incorporating ranking and relevance feedback techniques into a thesaurus based searching system. The INSPEC database on STN International was searched using the VUSE (View-based Search Engine) interface. Thesaurus terms from documents judged to be relevant by users were used to query INSPEC and create a ranking of documents based on probabilistic methods. An evaluation was carried out to establish whether or not it would be better for the user to continue searching with the thesaurus based front end or to use relevance feedback, looking at the ranked list of documents it would produce. Also looks at the amount of effort the user had to expend to get relevant documents in terms of the number of non relevant documents seen between relevant documents
  7. Pollitt, A.S.; Ellis, G.P.; Hosch, I.: Improving search quality using thesauri for query specification and the presentation of search results (1994) 0.02 
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  8. Pollitt, A.S.: ¬The key role of classification and indexing in view-based searching (1998) 0.02 
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    Abstract
    The application of classification schemes and thesauri to improve online information retrieval can be traced back to the beginnings of online searching itself, but the true potential for using knowledge structures in the user interface has yet to be realized. View-based searching seeks to exploit the classified arrangements in thesauri and existing classification schemes to improve the performance of such systems. HIBROWSE for EMBASE is a system which demonstrates the power of applying an approach to information retrieval which is strongly related to faceted classification. It does this by employing a point a click user interface with mutually constraining views utilising knowledge structure hierarchies for both query specification and the presentation of results. The relevance of this approach to library OPACs is discussed in the context of the digital library, concluding that out legacy of research in classification and indexing is more relevant than ever in the design of systems to cope with the problems of information access
  9. Smith, M.P.; Pollitt, A.S.: ¬The potential for incorporating document ranking in the MenUSE front-end search internemdiary system (1996) 0.01 
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    Source
    Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon

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