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OBDBSearch: A Keyword-based Semantic Search for Databases

Authors:
Simone Miraglia
Clarissa Molfino
Costanza Romano

Keywords: Keyword-based search; Semantic search; Information retrieval; Ontologies; Database access.

Abstract:
In this paper, we consider a semantic approach to information retrieval in structured data. We designed an ontology-based database search tool, namely OBDBSearch , that exploits ontologies to add semantics to traditional database-style searching. Our goal is to retrieve all database information somehow related to a set of keywords and to have them sorted by relevance. A heuristic method to calculate relevance has been devised. In order to apply and test our algorithm, we considered an application to Key Performance Indicators (KPIs), i.e., quantifiable and strategic measurements for an organization. We observed consistency between experimental results and those expected, even if testing on large amounts of data is still missing.

Pages: 82 to 89

Copyright: Copyright (c) IARIA, 2015

Publication date: May 24, 2015

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-408-4

Location: Rome, Italy

Dates: from May 24, 2015 to May 29, 2015