Finding Information on the Web: Enhancing Traditional Methodologies

Misleading Information, in the form of data manipulation, and Information Overloading are phenomena that frequently occur when users look for information and interact with many information sources. In this paper, two innovative search algorithms will be proposed. Their aim is to autonomously search information about a particular topic, in huge hypertextual collections, such as the Web. Starting from a little resource set, e.g., bookmarks or references in some categories of directory services, the algorithms select interactively the links which have the potentiality to reach new interesting resources for the user. We argue that the information systems based on the proposed algorithms may successfully facilitate the users' interaction with the present Information and Communication Technologies, addressing problems as Information Overloading and the Misleading Information.