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.

Deductive, Tolerant Agents for Discovering Didactic Resources on the Web

LOIA, Vincenzo;SENATORE, Sabrina;SESSA, Maria Immacolata
2002

Abstract

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/1002554
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