A Semantic Approach to Keyword Search over Relational Databases

Zeng, Z, Bao, Z, Lee, M and Ling, T 2013, 'A Semantic Approach to Keyword Search over Relational Databases', in Wilfred Ng, Veda C. Storey, Juan C. Trujillo (ed.) Proceedings of the 32th International Conference on Conceptual Modeling (ER 2013), Hong Kong, China, 11-13 November 2013.


Document type: Conference Paper
Collection: Conference Papers

Title A Semantic Approach to Keyword Search over Relational Databases
Author(s) Zeng, Z
Bao, Z
Lee, M
Ling, T
Year 2013
Conference name ER 2013: Conceptual Modeling
Conference location Hong Kong, China
Conference dates 11-13 November 2013
Proceedings title Proceedings of the 32th International Conference on Conceptual Modeling (ER 2013)
Editor(s) Wilfred Ng, Veda C. Storey, Juan C. Trujillo
Publisher Springer
Place of publication Berlin, Germany
Abstract Research in relational keyword search has been focused on the efficient computation of results as well as strategies to rank and output the most relevant ones. However, the challenge to retrieve the intended results remains. Existing relational keyword search techniques suffer from the problem of returning overwhelming number of results, many of which may not be useful. In this work, we adopt a semantic approach to relational keyword search via an Object-Relationship-Mixed data graph. This graph is constructed based on database schema constraints to capture the semantics of objects and relationships in the data. Each node in the ORM data graph represents either an object, or a relationship, or both. We design an algorithm that utilizes the ORM data graph to process keyword queries. Experiment results show our approach returns more informative results compared to existing methods, and is efficient.
Subjects Database Management
Information Retrieval and Web Search
Keyword(s) Keyword search
Relational databases
Semantic approach
DOI - identifier 10.1007/978-3-642-41924-9_21
Copyright notice © Springer-Verlag 2013
ISBN 9783642419232
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