LearnMiner: deductive, tolerant agents for discovering didactic resources on the web

  • Authors:
  • Vincenzo Loia;Sabrina Senatore;M. I. Sessa

  • Affiliations:
  • Universita' di Salerno, S. Allende - 84081 Baronissi, (SA), Italy;Universita' di Salerno, S. Allende - 84081 Baronissi, (SA), Italy;Universita' di Salerno, S. Allende - 84081 Baronissi, (SA), Italy

  • Venue:
  • SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
  • Year:
  • 2002

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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.