title: Using intelligent search for finding medical sites.
abstract: In this paper we present an intelligent search tool, which we developed in order to automate search and evaluation of websites. We used TFIDF heuristics to determine term frequency and decision trees to evaluate the quality of sites. Training set for the decision tree contained manually evaluated websites. Each website was described by the combination of various attributes, complexity metrics and the evaluation. The intelligent search tool is equipped with a user-friendly interface, which enables people to exploit the tool to its limits with minimum effort, in their quest for information. For testing purposes, we looked for sites with telemedical content. The set of sites, which was the result of using the intelligent search tool, has been evaluated by a group of students.
authors.affiliation: University of Maribor, Faculty of Electrical Engineering and Computer Science, Slovenia.
authors.forename: M
authors.initials: M
authors.lastname: Zorman
authors.forename: V
authors.initials: V
authors.lastname: Podgorelec
authors.forename: P
authors.initials: P
authors.lastname: Kokol
mesh_terms: D003663:Decision Trees; D007256:Information Systems; D020407:Internet; D012984:Software