Increasing levels of assistance in refinement of knowledge-based retrieval systems

Catherine Baudin, Barney Pell, Smadar Kedar
1994 Knowledge Acquistion  
This paper is concerned with the task of incrementally acquiring and refining the knowledge and algorithms of a knowledge-based system in order to improve its performance over time. In particular, we present the design of DE-KART, a tool whose goal is to provide increasing levels of assistance in acquiring and refining indexing and retrieval knowledge for a knowledge-based retrieval system. DE-KART starts with knowledge that has been entered manually, and increases its level of assistance in
more » ... uiring and refining that knowledge, both in terms of the increased level of automation in interacting with users, and in terms of the increased generality of the knowledge. DE-KART is at the intersection of machine learning and knowledge acquisition: it is a first step towards a system which moves along a continuum from interactive knowledge acquisition to increasingly automated machine learning as it acquires more knowledge and experience.
doi:10.1006/knac.1994.1010 fatcat:uwkda6lkr5gwdf5ly4xygdhqkm