A MultiAgent System for Classifying Bioinformatics Publications

Abstract. A growing amounts of information are currently being generated and stored in the World Wide Web (WWW), in particular, researchers in any field can find a lot of publications and scientific literature. However, for a researcher, especially for a beginner, it is still very hard to determine which papers are in fact of-interest without an explicit classification of the relevant topics she/he is involved in. In our view, personalization and effective information filtering techniques are primary features to be provided. In fact, beyond conventional search engines, users need specific tools and methods for an effective use of all the available scientific resources. In this paper, a multiagent system for classifying bioinformatics publications according to users interests is presented. The system is built upon a generic architecture aimed at retrieving, filtering and managing information among different and heterogeneous information sources. To evaluate the performance of the system...

• Type: Journal
• Year: 2006
• Where: ITSSA
• Authors: Eloisa Vargiu, Andrea Addis
• Keywords: Available Scientific Resources, Conventional Search Engines, ITSSA 2006, World Wide Web