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ThinkMind // GLOBAL HEALTH 2016, The Fifth International Conference on Global Health Challenges // View article global_health_2016_1_40_70074


Beyond The Relational Mode: Using Ontology for Medical Data Management

Authors:
Iyad Zayour
Bilal El-Hajj-Diab
Bassam Hussein
Ali Hage-Diab
Hassan Khachfe

Keywords: Database; Ontology; Data Management

Abstract:
Software tools that manage structured data are predominantly confined to mainly two tools: spreadsheets and databases. Investigation in the medical field shows that the experience with either tool has not been satisfactory. While a spreadsheet offers flexibility to manipulate the structure of data and can be operated by the end user, it is too limited for extensive data in term of size or complexity. Databases are suitable for moderately complex data that can be large in size, but are costly, take a long time to stabilize and can be only implemented by programmers. These limitations are due to the rigidity of the data model based on arranging data in a tabular form. In order to address this issue, we investigated the frame- based-knowledge-base data model (ontology) from the artificial intelligence literature. This model seems to be more effective and efficient in managing medical research data. To operate using this model, we used Protégé, an open source tool that offered a near database like functionality.

Pages: 9 to 13

Copyright: Copyright (c) IARIA, 2016

Publication date: October 9, 2016

Published in: conference

ISSN: 2308-4553

ISBN: 978-1-61208-511-1

Location: Venice, Italy

Dates: from October 9, 2016 to October 13, 2016

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