MELISSA: Mobile electronic LSA internet server search agent


Searching the World Wide Web for desired information is becoming increasingly challenging with the growing number of web servers and pages. Commonly used search engines often return broken links, out-of-date information, and unrelated pages. This project presents an alternative to these search engines by describing an architecture for a mobile autonomous search agent. MELISSA searches Internet web servers on the user’s behalf and reports results back to the user in real-time that are up-to-date and free of broken links. In addition, MELISSA suppresses most unrelated pages by applying Latent Semantic Analysis (LSA), a statistical method for extracting and representing meaning in text corpora. An experiment comparing MELISSA to the AltaVista Internet search engine reveals significant improvements in search engine performance.

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)