Toward Multi-Approach Model for Semi-Automating a Data Warehouse Design from an Ontology
Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2017, Vol 5, Issue 4
Abstract
The proliferation of projects that are part of the semantic Web is truly impressive. In fact, ontologies become increasingly present in information systems, they constitute great data sources that arouse the interest of being analyzed. Ontologies are used for standardizing, structuring and formalizing the Web, Web Service, Elearning systems, and other fields. Regarding multidimensional approaches, researches in this field have focused on direct Data Warehouse conception from an ontology, which do not integrate the intervention of the expert in this process. In this case, the transformations are global and not very customizable; it can reproduce the inherent defects from the data sources into the resulting data warehouse. In this paper, we propose a new multiapproach model based on the coupling of relational database design approaches from an ontology with Data Warehouse design approaches from a relational database. Our model is semiautomatic allowing Data Warehouse design from an ontology by giving the designer more ability to intervene in this process and closely control the transformations. To assess the usefulness of our approach, we evaluated it by applying it on an example case study. The results of the example show that our approach is more accurate in terms of useful data filtering and adaptation of the multidimensional model to the endusers businessneeds. KeywordsSemantic Web; Business Intelligence; Data Warehouse
Authors and Affiliations
Morad Hajji, Mohammed Qbadou, Khalifa Mansouri
Keywords
Related Articles
- EP ID EP310282
- DOI 10.14738/tmlai.54.3337
- Views 78
- Downloads 0
Brain Tumor Segmentation using Multiobjective Fuzzy Clustering
The segmentation of magnetic resonance images plays a crucial role in medical image analysis because it extracts the required area from the image. Despite intensive research, it still remains a challenging problem and th...
Comparison Performance Evaluation of Modified Genetic Algorithm and Modified Counter Propagation Network for Online Character recognition
This paper carries out performance evaluation of a Modified Genetic Algorithm (MGA) and Modified Counter Propagation Network (MCPN) Network for online character recognition. Two techniques were used to train the feature...
Robust Multiple Watermarking Technique for Medical Applications using DWT, DCT and SVD
The security of medical data plays an important role in preserving their integrity and confidentiality. This paper presents a robust multiple watermarking algorithm based on a combination of discrete wavelet transform (D...
Optimizing Hadoop for Small File Management
HDFS is one of the most used distributed file systems, that offer a high availability and scalability on lowcost hardware. HDFS is delivered as the storage component of Hadoop framework. Coupled with map reduce, which is...
New Cloud Economy For Resolving A Problem Cloud Computing Adoption
Cloud computing , IT still called to order, it is a model that allows access to information resources on demand, we can consider it as a unique Technology to satisfy needs and respond to customer demands by guaranteeing...