In this paper, we propose a novel IR ranking strategy considering query semantics for effective keyword search. The experimental results on a large-scale real ...
In this paper, we propose a novel IR ranking strategy considering query semantics for effective keyword search. The experimen- tal results on a large-scale real ...
This paper proposes a novel IR ranking strategy considering query semantics for effective keyword search in relational databases and demonstrates that the ...
In this paper, we propose a novel IR ranking strategy considering query semantics for effective keyword search. The experimental results on a large-scale real ...
In this paper, we propose a novel IR ranking strategy for effective keyword search. We are the first that conducts comprehensive experiments on search ...
Dec 19, 2024 · This paper introduces a novel approach using an Integrated Candidate Network (ICN) to enhance query responses by reducing redundant operations ...
[PDF] SPARK: Top-k Keyword Query in Relational Databases - CiteSeerX
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In this paper, we focus on the problem of supporting ef- fective and efficient top-k keyword search in relational data- ... proach is motivated by the semantics ...
We consider the correspondences between sub-queries in a given query and database columns in an answer as the semantics of the query in the answer. In ...
In this paper, we propose an efficient method for answering top-k keyword queries over relational databases. The proposed method is built on an existing scheme ...
The first one computes a set of potential top-k results by evaluating the range of the future relevance score for every query result and creates a light-weight ...