LearnMiner
Vincenzo Loia, Sabrina Senatore, María I. Sessa · 2002
As information nowadays represents a key factor in every successful business, and Internet offers literally tons of available data concerning almost every area of human activity, there emerges a real necessity for good search tools that can obtain high quality information in a short time. Nowadays finding useful information can be an overwhelming task. As a result, consumers need effective mechanisms for searching the Web. This paper describes LearnMiner, an open, agent-based platform designed for advanced didactic resource discovery. A central role is played by deductive agents, equipped with a similarity-based inference mechanism. This issue enables to bridge the gap between the requested information and the available information on the net, considering the "similarity" as a weaker relation for undiscernibility.