Unifying Mobility Data Warehouse Models Using UML Profile

2014 ◽  
pp. 82-91 ◽  
Author(s):  
Marwa Manaa ◽  
Jalel Akaichi
Keyword(s):  
Data Warehouse ◽  
Uml Profile ◽  
Mobility Data

What is the Impact of Mobility Data Integration on Decision Support Systems' Modelling and Evolution?

2016 ◽  
Vol 8 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Noura Azaiez ◽  
Jalel Akaichi
Keyword(s):  
Decision Support ◽  
Data Warehouse ◽  
Data Storage ◽  
Business Processes ◽  
Data Extraction ◽  
Decision Makers ◽  
Trajectory Data ◽  
Mobility Data ◽  
Systems Modelling ◽  
The Impact

Classic data seems unable to keep pace with the technology era. In fact, the incredible progress related to geographic information systems, pervasive computing, and positioning technologies have motivated classic data to evolve towards new data kind called mobility data. For decisional purposes, these later have to be analysed; therefore, their integration into a decision support system becomes a must. However, the data warehouse used to store classical data seems to be inadequate for mobility data storage and analysis. This gave the birth of a new central repository type called trajectory data warehouse which is able to support mobility data extraction, transformation, loading, and analysis and/or mining. As classic data warehouses, the trajectory one often changes its content as well as its structure for various reasons such as the organizational business processes progressing over time, the evolving needs of decision makers that lead to DW structure enrichment with additional analyses axes, or even the incompleteness of needs initially captured during the design phase of the DW . This work proposes a survey that gathers the research works that deal with the issue of trajectory data warehouse modelling and evolution; then the authors present comparative study of the proposed solutions.

Design and Implementation of Active Stream Data Warehouses

2021 ◽  
pp. 288-311
Author(s):  
Sandro Bimonte ◽  
Omar Boussaid ◽  
Michel Schneider ◽  
Fabien Ruelle
Keyword(s):  
Data Warehouse ◽  
Conceptual Modeling ◽  
Data Warehouses ◽  
Stream Data ◽  
Modeling Tools ◽  
Uml Profile ◽  
Classical Information ◽  
Design And Implementation ◽  
Eca Rules

In the era of Big Data, more and more stream data is available. In the same way, Decision Support Systems (DSS) tools, such as data warehouses and alert systems, become more and more sophisticated, and conceptual modeling tools are consequently mandatory for successfully DSS projects. Formalisms such as UML and ER have been widely used in the context of classical information and data warehouse systems, but they have not been investigated yet for stream data warehouses to deal with alert systems. Therefore, in this article, the authors introduce the notion of Active Stream Data Warehouse (ASDW) and this article proposes a UML profile for designing Active Stream Data Warehouses. Indeed, this article extends the ICSOLAP profile to take into account continuous and window OLAP queries. Moreover, this article studies the duality of the stream and OLAP decision-making process and the authors propose a set of ECA rules to automatically trigger OLAP operators. The UML profile is implemented in a new OLAP architecture, and it is validated using an environmental case study concerning the wind monitoring.

scholarly journals Ontological Re-engineering of Medical Databases

2009 ◽  
Vol 63 (4-5) ◽  
pp. 156-158 ◽  
Author(s):  
Guntis Bārzdiņš ◽  
Sergejs Rikačovs ◽  
Marta Veilande ◽  
Mārtiņš Zviedris
Keyword(s):  
Data Warehouse ◽  
Relational Databases ◽  
Query Language ◽  
Medical Data ◽  
Uml Profile ◽  
Medical Databases ◽  
Owl Ontology ◽  
Rdf Database ◽  
Graphical Query Language

Ontological Re-engineering of Medical Databases This paper describes data export from multiple medical databases (relational databases) into a single shared Medical Data Warehouse (RDF database structured according to an integrated OWL ontology). The exported data is conveniently accessible via SPARQL or via graphical query language ViziQuer based on UML profile for OWL. The approach is illustrated on one of Latvian Medical databases - Injury Register.

Design and Implementation of Active Stream Data Warehouses

2019 ◽  
Vol 15 (2) ◽  
pp. 1-21 ◽  
Author(s):  
Sandro Bimonte ◽  
Omar Boussaid ◽  
Michel Schneider ◽  
Fabien Ruelle
Keyword(s):  
Data Warehouse ◽  
Conceptual Modeling ◽  
Decision Making Process ◽  
Data Warehouses ◽  
Stream Data ◽  
Modeling Tools ◽  
Uml Profile ◽  
Classical Information ◽  
Eca Rules

In the era of Big Data, more and more stream data is available. In the same way, Decision Support Systems (DSS) tools, such as data warehouses and alert systems, become more and more sophisticated, and conceptual modeling tools are consequently mandatory for successfully DSS projects. Formalisms such as UML and ER have been widely used in the context of classical information and data warehouse systems, but they have not been investigated yet for stream data warehouses to deal with alert systems. Therefore, in this article, the authors introduce the notion of Active Stream Data Warehouse (ASDW) and this article proposes a UML profile for designing Active Stream Data Warehouses. Indeed, this article extends the ICSOLAP profile to take into account continuous and window OLAP queries. Moreover, this article studies the duality of the stream and OLAP decision-making process and the authors propose a set of ECA rules to automatically trigger OLAP operators. The UML profile is implemented in a new OLAP architecture, and it is validated using an environmental case study concerning the wind monitoring.

CIM for data warehouse requirements using an UML profile

IET Software ◽  
2017 ◽  
Vol 11 (4) ◽  
pp. 181-194 ◽  
Author(s):  
Omar El Beggar ◽  
Khadija Letrache ◽  
Mohammed Ramdani
Keyword(s):  
Data Warehouse ◽  
Uml Profile

scholarly journals An Improved Framework for Modelling Data Warehouse Systems Using UML Profile

2020 ◽  
Vol 17 (4) ◽  
pp. 562-571
Author(s):  
Muhammad Babar ◽  
Akmal Khattak ◽  
Fahim Arif ◽  
Muhammad Tariq
Keyword(s):  
Data Warehouse ◽  
Software Systems ◽  
Specific Information ◽  
The Novel ◽  
Modelling Language ◽  
Uml Profile ◽  
Domain Specific ◽  
Judgment Process ◽  
Modelling Data

Data Warehouse (DW) applications provide past detail for judgment process for the companies. It is acknowledged that these systems depend on Multidimensional (MD) modelling different from traditional database modelling. MD modelling keeps data in the form of facts and dimensions. Some proposals have been presented to achieve the modelling of these systems, but none of them covers the MD modelling completely. There is no any approach which considers all the major components of MD systems. Some proposals provide their proprietary visual notations, which force the architects to gain knowledge of new precise model. This paper describes a framework which is in the form of an extension to Unified Modelling Language (UML). UML is worldwide known to design a variety of perspectives of software systems. Therefore, any method using the UML reduces the endeavour of designers in understanding the novel notations. Another exceptional characteristic of the UML is that it can be extended to bring in novel elements for different domains. In addition, the proposed UML profile focuses on the accurate representations of the properties of the MD systems based on domain specific information. The proposed framework is validated using a specific case study. Moreover, an evaluation and comparative analysis of the proposed framework is also provided to show the efficiency of the proposed work

An Evaluation of a Plasma Fractionation System

1960 ◽  
Vol 4 (01) ◽  
pp. 031-044
Author(s):  
George Y. Shinowara ◽  
E. Mary Ruth
Keyword(s):  
Biological Activity ◽  
Ionic Strength ◽  
Plasma Proteins ◽  
High Concentration ◽  
Significant Evidence ◽  
Native Proteins ◽  
Mobility Data ◽  
Fractionation Procedure ◽  
The Individual ◽  
Low Ionic Strength

SummaryFour primary fractions comprising at least 97 per cent of the plasma proteins have been critically appraised for evidence of denaturation arising from a low temperature—low ionic strength fractionation system. The results in addition to those referable to the recovery of mass and biological activity include the following: The high solubilities of these fractions at pH 7.3 and low ionic strengths; the compatibility of the electrophoretic and ultracentrifugal data of the individual fractions with those of the original plasma; and the recovery of hemoglobin, not hematin, in fraction III obtained from specimens contaminated with this pigment. However, the most significant evidence for minimum alterations of native proteins was that the S20, w and the electrophoretic mobility data on the physically recombined fractions were identical to those found on whole plasma.The fractionation procedure examined here quantitatively isolates fibrinogen, prothrombin and antithrombin in primary fractions. Results have been obtained demonstrating its significance in other biological systems. These include the following: The finding of 5 S20, w classes in the 4 primary fractions; the occurrence of more than 90 per cent of the plasma gamma globulins in fraction III; the 98 per cent pure albumin in fraction IV; and, finally, the high concentration of beta lipoproteins in fraction II.

Entwicklung eines Data-Warehouse-Systems zur Evaluation des Mammographie-Screening-Programms

2007 ◽  
Vol 179 (S 1) ◽  
Author(s):  
J Czwoydzinski ◽  
A Sommer ◽  
S Weigel ◽  
H Lenzen ◽  
W Heindel
Keyword(s):  
Data Warehouse
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