Academic data warehouse design using a hybrid methodology

Author:

Di Tria1,Lefons Ezio1,Tangorra Filippo1

Affiliation:

1. Università degli Studi di Bari Aldo Moro Via Orabona, Dipartimento di Informatica, Bari, Italy

Abstract

In the last years, data warehousing has got attention from Universities which are now adopting business intelligence solutions in order to analyze crucial aspects of the academic context. In this paper, we present the architecture of a Business Intelligence system for academic organizations. Then, we illustrate the design process of the data warehouse devoted to the analysis of the main factors affecting the importance and the quality level of every University, such as the evaluation of the Research and the Didactics. The design process we describe is based on a hybrid methodology that is largely automatic and relies on an ontological approach for the integration of the different data sources.

Publisher

National Library of Serbia

Subject

General Computer Science

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adaptable Data Warehouse Based on the Research Factor of the NAC Institutional Accreditation Model;Revista Facultad de Ingeniería;2022-12-31

2. Volunteer Data Warehouse;International Journal of Data Warehousing and Mining;2021-07

3. The potential of semantic paradigm in warehousing of big data;Automatika;2019-07-26

4. Using Semantic Web technologies in the development of data warehouses: A systematic mapping;WIREs Data Mining and Knowledge Discovery;2018-12-07

5. Architecture Enabling Adaptation of Data Integration Processes for a Research Information System;Foundations of Computing and Decision Sciences;2018-06-01

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