A Metadata Search Approach to Keyword Query in Relational Databases

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Provided by: International Journal of Computer Applications
Topic: Big Data
Format: PDF
In this paper, the authors propose an effective approach to keyword query in relational databases. It uses a semantic graph model consisting of database metadata, database values, user terms, and their semantic connections. Keywords of a query determine all possible connected subgraphs of the semantic model. A query answer is a subgraph with the minimum connections. In addition, the approach proposes to rank result tuples of the answer subgraph using the IR-style ranking function. Their experiment results show that queries with metadata terms give more precise answers than queries without them.
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