Search (10 results, page 1 of 1)

  • × author_ss:"Smith, M.P."
  1. Pollitt, A.S.; Ellis, G.P.; Smith, M.P.: HIBROWSE for bibliographic databases (1994) 0.05
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    Abstract
    The HIBROWSE design offers improved searching functionality for users of bibliographic databases. The interface provides a multi windowed view of data stored on a relational database management system, using layered attribute value aggregation and classification. The user interrogates the database by invoking automatically formulated SQL queries that filter the contents of each window according to user selected attribute values. The interface is described using 'hand crafted' screens to create realistic examples of HIBROWSE systems for EPOQUE, INSPEC, MEDLINE and EMBASE
  2. 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) 0.04
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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
  3. Smith, M.P.; Pollitt, A.S.: ¬The potential for incorporating document ranking in the MenUSE front-end search internemdiary system (1996) 0.03
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    Abstract
    Reviews research which aims to improve the ways in which documents are presented to the user within the MenUSE (Menu based User Search Engine) search intermediary system. MenUSE is an advanced intermediary system for end user searching of bibliographic databases originating in CANSEARCH, a prototype intermediary system that used an expert systems approach to generate searches in cancer therapy related information retrieval from MEDLINE. In particular it investigates ways in which the order of presentation of documents can be made more effective. Discusses alternative schemes for document reordering, the main emphasis being on the provision of relevance ranking where the most relevant documents are presented to the user first. Examines the feasibility of incorporating such ranking techniques into MenUSE and compares 3 algorithms which simulate collection frequency ranking on a remote bibliographic database host using Boolean searching. Concludes that the CIRT algorithm offers the best performance. Proposes a design for an enhancement to the MenUSE system which will be the subject of user testing to verify the effectiveness of ranking in MenUSE
    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
  4. Smith, M.; Smith, M.P.; Wade, S.J.: Applying genetic programming to the problem of term weight algorithms (1995) 0.02
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    Source
    New review of document and text management. 1995, no.1, S.101-110
  5. Smith, M.P.; Pollitt, S.A.: ¬A comparison of ranking formulae and their ranks (1995) 0.02
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    Source
    New review of document and text management. 1995, no.1, S.85-100
  6. 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) 0.01
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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
  7. Smith, M.P.; Pollitt, A.S.: Ranking and relevance feedback extensions to a view-based searching system (1995) 0.01
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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
  8. Pollitt, A.S.; Smith, M.P.; Treglown, M.; Braekevelt, P.: View-based searching systems : progress towards effective disintermediation (1996) 0.01
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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
  9. Pollitt, A.S.; Smith, M.P.; Ellis, G.P.: Peek-a-boo revived : end-user searching of bibliographic databases using filtering views (1994) 0.01
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    Abstract
    Demonstrates that a mode of interaction, analogous to the optomechanical principles applied in the Peek-a-Boo system, can be applied in computerized retrieval systems to enhance the quality of human-computer interaction radically and increase effectiveness. The MenUSE (Menu based User Search Engine) software has evolved from constructing explicit Boolean combinations of concepts automatically to using an implicit Boolean searching approach, similar to Peek-a-Boo. Thesauri and classification schemes, together with other searchable values, provide the user with views of a database and a means for the recognition and selection of concepts and other parameters by the end user. The resulting filtering model has been implemented for searching the European Parliament's EPOQUE database and for INSPEC. This second application provides illustrations of the technique for this paper
  10. Smith, M.P.; Smith, M.: ¬The use of genetic programming to build Boolean queries for text retrieval through relevance feedback (1997) 0.01
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    Abstract
    Reports preliminary work on the use of evolutionary computing techniques to improve Boolean information retrieval system performance through relevance feedback, such as neural networks and genetic algorithms. One specific form of genetic algorithm technique was used: that of genetic programming. Terms from relevant documents are used to create randomly Boolean queries. Boolean queires are thought of as genetic programming organisms and, as such, are used for breeding to produce new organisms. Organisms which perform well, in terms of how good they are at retrieval, are given a better chance of being selected for breeding, with the result being that the overall fitness of the organisms improve to some extent. The aim is to develop the best Boolean query for an information need, given a small corpus of test documents, and then to use that query on the full collection to retrieve yet more relevant documents