Title: Towards a framework for graph-based keyword search over relational data

Authors: Vittoria Cozza

Addresses: ENEA, Casaccia Research Centre, via Anguillarese, 301-00123 Rome, Italy

Abstract: Keyword-based access to structured data has attracted research and industry as a means for facilitating access to information. In recent years, the research community and big data technology vendors put a lot of effort into developing new proof of concept systems for the task at hand. Two major limitations have been identified for such prototypes to transition into fully developed products: 1) systems are not designed to scale up; 2) the absence of a complete evaluation approach oriented towards effectiveness. This work presents a framework for supporting the development and the evaluation of graph-based keyword search systems. Furthermore, the implementation of a core module of this framework is detailed and shared open-source with the community.

Keywords: relational data; database search; structured data; graph search; keyword search; database applications; knowledge management applications.

DOI: 10.1504/IJIIDS.2022.121924

International Journal of Intelligent Information and Database Systems, 2022 Vol.15 No.2, pp.183 - 198

Received: 26 Aug 2020
Accepted: 06 Apr 2021

Published online: 07 Apr 2022 *

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