planning - designing - developing IT
Special Interest Group on Systems Analysis and Design

Publications

A Volunteer Design Methodology of Data Warehouses

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In the context of Volunteered Geographic Information (VGI), volunteers are not involved in the decisional processes. Moreover, VGI systems...

Using a Conceptual Model to Transform Road Networks from OpenStreetMap to a Graph Database

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We present a method for extracting road network data that has been crowdsourced in the OpenStreetMap project and transform...

Modeling Conceptual Characteristics of Virtual Machines for CPU Utilization Prediction

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Cloud services have grown rapidly in recent years, which provide high flexibility for cloud users to fulfill their computing...

Towards Data Visualisation Based on Conceptual Modelling

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Selecting data, transformations and visual encodings in current data visualisation tools is undertaken at a relatively low level of...

Ontological Deep Data Cleaning

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Analytical applications such as forensics, investigative journalism, and genealogy require deep data cleaning in which application-dependent semantic errors and...

Conceptual Modeling to Support Pivoting – An Example from Twitter

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Pivoting is used by many startups and large enterprises to reconfigure their structures and relationships in line with their...

Automatic Generation of Security Compliant (Virtual) Model Views

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The increased adoption of model-driven engineering in collaborative development scenarios raises new security concerns such as confidentiality and integrity....

SQL or NoSQL? Which Is the Best Choice for Storing Big Spatio-Temporal Climate Data?

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Management of big spatio-temporal data such as the results from large scale global climate models has long been a...

The Common Ontology of Value and Risk

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Risk analysis is traditionally accepted as a complex and critical activity in various contexts, such as strategic planning and...

UDBMS: Road to Unification for Multi-model Data Management

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One of the greatest challenges in big data management is the “Variety” of the data. The data may be...