From Data Warehouse to Information Warehouse
Hadjer Moulai, Habiba Drias · 2018
Data and information are different constructs and Data become information when they supply a content from several elements, generating thus a meaning. From this observation, in this paper, we introduce the paradigm of information warehousing and explain our motivation. We propose a generic and original information warehouse architecture for the storage and analysis of all types of information sources such as scientific papers, press articles and social media. The described infrastructure is then illustrated for the case of Twitter where a multidimensional information model is defined. The collected information flow is analyzed using a data mining technique, which is the Apriori algorithm, to discover association rules that would reflect the topics discussed in the tweets collection. The obtained results are promising and confirm the potential of the proposed paradigm.