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\title{A Case-Based Reasoning Approach for Associative Query Answering}

\author{Gilles Fouqu\'e, Wesley W. Chu, and Henrick Yau \\
Computer Science Department\\
University of California, Los Angeles\\
Los Angeles, CA 90024\\
\{gfouque, wwc, henrick\}@cs.ucla.edu
}

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\begin{abstract}
Traditional DBMS only retrieves data that perfectly
match the user query and also
requires the user to know the detailed database schema.
Often, it is desirable to obtain additional relevant information to a query.
In this paper, we present a method to provide
useful information to the user that he does not explicitly asked for.
Such domain specific knowledge
associated to a given query depends on each user's goal and
knowledge.
Thus, we propose using the Case Based
Reasoning paradigm to integrate past user experience and the current
goal in order to guide the association.
Useful associations are incrementally
acquired from observations of past experiences and adapted to answer the
current user query.
A prototype of the associative query answering system using the proposed
method has been implemented on top of the cooperative database system,
CoBase, at UCLA. Our preliminary experimental results reveal that it
is a feasible and scalable method for association control.
\end{abstract}
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