Author(s)

T. Filatov & V. Popov

Abstract

Web portals are often created to unite and classify information from different web sources in order to satisfy the needs of particular group of internet/intranet users. The main difficulty arising due to maintenance of such portals is that it requires certain time and labour inputs. The other task to solve is to provide users with adaptive interfaces to recognize their interests and help them find and filter the required information. An innovative approach is proposed represented by a combination of search engine elements and an evolutionary algorithm for the navigational interface of the links panel. The system is implemented as a web-based application. Keywords: internet, knowledge, portal, self-organising, evolutionary algorithm, keyword, navigation, links panel, search spider. 1 Introduction Modern Internet and the rates of its development demand new high-end technologies to organise and represent data. The problem addressed in current research is the issue of web portals. It is a widespread case when there are a number of websites devoted to some field and there is a certain group of visitors interested in this field. It is convenient in these cases to have a web portal as a central place to visit and check for updates. However, the problem of maintenance may arise. Such a portal should be maintained on a regular basis, the related websites should be checked for new materials, and data collected and prepared in a convenient form for the users of the portal. This is very timedemanding and requires a duly work of content managers. The main aim of the current research is to find the approaches to automate these processes of data collection and management and create a method to maintain self-organising web portal.

Keywords

internet, knowledge, portal, self-organising, evolutionary algorithm, keyword, navigation, links panel, search spider.