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

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

Noura Azaiez (Department of Computer Science, ISG Institute, Tunis University, Tunisia) and Jalel Akaichi (College of Computer Science, King Khalid University, Abha, Saudi Arabia)
DOI: 10.4018/IJISSS.2016010101
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Abstract

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.
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Trajectory Data Integration Modeling

Mobile objects are characterized with their different movements and positions into a time interval. These various positions describe the mobile object behavior changes and therefore its trajectory. In the literature, a great interest is expressed concerning the moving objects management. Some works are interested only in the trajectory operational IS modeling and others deepened their researches to propose solutions leading to better decision making.

Trajectory Operational Information System Modeling

The work (Spaccapietra, Parent, Damiani, Macedo, Porto & Vangenot, 2008) relies on the conceptual modelling at the aim to provide applications with direct support of trajectories (i.e. movement data that is structured into countable semantic units). For this, authors proposed two conceptual modelling approaches (a) Trajectory Design Pattern, (b) Trajectory data types. These two approaches can be combined according to the designers needs. The approach of trajectory design pattern is a generic schema which can be connected to any other database schema. The designer can change the design template by adding new elements or semantic attributes, or deleting them to adapt to the new application requirements. Thus, authors defined new object types (Move, B.E.S, Trajectory…).The trajectory data types approach is based on the idea that many semantic information which are specific to an application must be defined by the designers. This approach has the role to define data types for trajectories components (Begin, End, Stop, and Move) and interpolation functions.

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