Increasing Levels of Assistance in Refinement of
Knowledge-Based Retrieval Systems. Catherine Baudin, Smadar Kedar, and
Barney Pell. In Knowledge Acquisition Journal, 1994.
ABSTRACT
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 acquiring 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. Keywords:
Conceptual indexing and retrieval, increasing levels of assistance,
inductive learning.