On-line Information Retrieval

Personalising On-Line Information Retrieval Support with a Genetic Algorithm

A genetic algorithm is described that models changing user interests in an on-line information retrieval support system. User interests are represented as a population of queries which are issued to a World-Wide Web search engine. User feedback on the queries and their results provides the fitness of each query. A single point crossover operator recombines query terms and two mutation operators...

I. Design of a Revised On-Line Information Retrieval System

Public Transport Ontology for Passenger Information Retrieval

Passenger information aims at improving the user-friendliness of public transport systems while influencing passenger route choices to satisfy transit user’s travel requirements. The integration of transit information from multiple agencies is a major challenge in implementation of multi-modal passenger information systems. The problem of information sharing is further compounded by the multi-l...

Letters on Geo graphic Information Retrieval Geo graphic Information Retrieval

Towards an on-Line Semantic Information Retrieval System based on Fuzzy Ontologies

The huge number of available documents on the Web makes finding relevant ones a challenge. Thus, searching for information becomes more and more complex because of the growing volume of data and of its lack of structure. The quality of results that traditional full-text search engines provide is still not optimal for many types of user queries. Especially, the ambiguities of natural languages a...