Associative query answering provides additional relevant information to the queries that is not explicitly asked, but is of interest to the user. For a given query, associative information may be derived from past user query cases based on the user type and the query context. A case-based reasoning approach that matches query features is proposed. The query feature consists of the query topic, the output attribute list, and the selection constraints. The similarity of the query feature is defined and can be evaluated from the semantic model that is derived from the database schema. Query feature based associative attribute search is presented.
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