Development of a Prototype Intelligent Browsing System, utilising Boolean Query Generation using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4215

  author =       "Dan Morrison",
  title =        "Development of a Prototype Intelligent Browsing
                 System, utilising {Boolean} Query Generation using
                 Genetic Programming",
  school =       "University College, London",
  year =         "1994",
  address =      "Gower Street, London, WC1E 6BT, UK",
  month =        sep,
  keywords =     "genetic algorithms, genetic programming, Text
                 Retrival, Automatic Query generation, iBrowse",
  size =         "53 pages plus 40 pages of appendices",
  abstract =     "The need was identified for a generic Information
                 Retrival tool. Genetic Programming was selected as most
                 suitable paradigm for providing the necessary adaptive
                 intelligence. This was combined with conventional
                 Bollean query search techniques. Each Query is treated
                 as a genetic individual and a population of these is
                 eveolved so as to move through the search space of all
                 possible queries efficeiently. The criteria that guide
                 this search is termed relevance feedback. This
                 information is derived from the suer through tne
                 evaluation of a document set and forms the basis of the
                 fitness funtion. The best query produced in this way
                 can then be used to scan other documents, ordering
                 these according to relevance. These processes can be
                 lined to produce an application that can learn by
                 experience, requires no explicit instructions and can
                 be apllied to a wide variety of IR situations.

                 The development work was divided into three stages:
                 design and implementation of an experimental software
                 platform, research into viable configurations using
                 this platform, and construction of working models.
                 Stage one formed the focus of this project.

                 The project specification was thus to produce a
                 software system that can act as a testbed during
                 experimentation in teh second stage and as an early
                 prototype of future applications. This was achieved,
                 the souce code being written in C++ to run on a PC.",
  notes =        "Supervised by Chris Clack",

Genetic Programming entries for Dan Morrison